Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments | Paper Citation Record

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This paper cites Sharp-maml: Sharpness-aware model-agnostic meta learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Sharp-maml: Sharpness-aware model-agnostic meta learning

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This paper cites A Bayesian Sampling Approach to Exploration in Reinforcement Learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments A Bayesian Sampling Approach to Exploration in Reinforcement Learning

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This paper cites Finite-time analysis of the multiarmed bandit problem, 2002 a.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Finite-time analysis of the multiarmed bandit problem, 2002 a

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Using confidence bounds for exploitation-exploration trade-offs

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments A Tutorial on Meta-Reinforcement Learning

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This paper cites C., and Ye, Y.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments C., and Ye, Y

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments C., and Jordan, M

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments On Evaluating Adversarial Robustness

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments and Valko, M

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This paper cites Risk aversion in finite markov decision processes using total cost criteria and average value at risk.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Risk aversion in finite markov decision processes using total cost criteria and average value at risk

Reference 10

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This paper cites Box2d: A 2d physics engine for games, 2007.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Box2d: A 2d physics engine for games, 2007

Reference 11

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This paper cites Tohan: A one-step approach towards few-shot hypothesis adaptation.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Tohan: A one-step approach towards few-shot hypothesis adaptation

Reference 12

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This paper cites Unveiling causal reasoning in large language models: Reality or mirage? Advances in Neural Information Processing Systems, 37: 0 96640--96670, 2024 a.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Unveiling causal reasoning in large language models: Reality or mirage? Advances in Neural Information Processing Systems, 37: 0 96640--96670, 2024 a

Reference 13

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This paper cites Does confusion really hurt novel class discovery? International Journal of Computer Vision, 132 0 (8): 0 3191--3207, 2024 b.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Does confusion really hurt novel class discovery? International Journal of Computer Vision, 132 0 (8): 0 3191--3207, 2024 b

Reference 14

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Risk-sensitive and data-driven sequential decision making

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Risk-sensitive and robust decision-making: a cvar optimization approach

Reference 16

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Risk-constrained reinforcement learning with percentile risk criteria

Reference 17

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This paper cites Safe policy learning for continuous control.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Safe policy learning for continuous control

Reference 18

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This paper cites A., Ghahramani, Z., and Jordan, M.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments A., Ghahramani, Z., and Jordan, M

Reference 19

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This paper cites Task-robust model-agnostic meta-learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Task-robust model-agnostic meta-learning

Reference 20

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Bullet physics simulation

Reference 21

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Emergent complexity and zero-shot transfer via unsupervised environment design

Reference 22

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Reference 23

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Model-agnostic meta-learning for fast adaptation of deep networks

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Probabilistic model-agnostic meta-learning

Reference 25

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Addressing function approximation error in actor-critic methods

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Deep bayesian active learning with image data

Reference 27

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Neural Processes

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments W., Gast, J., Ruiz, I

Reference 30

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Efficient risk-averse reinforcement learning

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Train hard, fight easy: Robust meta reinforcement learning

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Meta-reinforcement learning of structured exploration strategies

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Beyond uniform sampling: Offline reinforcement learning with imbalanced datasets

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Meta-learning in neural networks: A survey

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Replay-guided adversarial environment design

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Auto-Encoding Variational Bayes

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments W., Sagawa, S., Marklund, H., Xie, S

Reference 39

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments D., Jansen, N., and Topcu, U

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 41

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Unresolved cited work

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Theoretical investigations and practical enhancements on tail task risk minimization in meta learning

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments DrEureka: Language Model Guided Sim-To-Real Transfer

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments and Teneketzis, D

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Supported value regularization for offline reinforcement learning

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Supported trust region optimization for offline reinforcement learning

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression

Reference 49

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Doubly Mild Generalization for Offline Reinforcement Learning

Reference 50

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments J., and Paull, L

Reference 51

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments H., and Gal, Y

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Domain randomization for simulation-based policy optimization with transferability assessment

Reference 53

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This paper cites Data-efficient domain randomization with bayesian optimization.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Data-efficient domain randomization with bayesian optimization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.407725Z

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Observation 3b839439-50fd-4352-86f7-964aca3c4c97 · outbound

This paper cites Variational Continual Learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Variational Continual Learning

Reference 55

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This paper cites (more) efficient reinforcement learning via posterior sampling.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments (more) efficient reinforcement learning via posterior sampling

Reference 56

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Observation bc30fc04-e964-43ee-b0dd-38a1710cb077 · outbound

This paper cites Risk averse robust adversarial reinforcement learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Risk averse robust adversarial reinforcement learning

Reference 57

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Unresolved cited work

Reference 58

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Observation c2de9c67-7809-45f9-b0d2-514e663ce01c · outbound

This paper cites Meta-learning with neural bandit scheduler.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Meta-learning with neural bandit scheduler

Reference 59

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Observation d5bd3537-2d1a-44f4-92cd-f9bb40e89e8f · outbound

This paper cites Hokoff: Real game dataset from honor of kings and its offline reinforcement learning benchmarks.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Hokoff: Real game dataset from honor of kings and its offline reinforcement learning benchmarks

Reference 60

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Observation c99a8ad3-082b-4c41-9227-809318140e1d · outbound

This paper cites Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration

Reference 61

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Observation b25e7614-0244-45db-86b5-a40bb327682d · outbound

This paper cites Latent reward: Llm-empowered credit assignment in episodic reinforcement learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Latent reward: Llm-empowered credit assignment in episodic reinforcement learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.357963Z

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Observation 3d905242-76d5-4c81-ac73-0180c35e1eb2 · outbound

This paper cites M., and Levine, S.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments M., and Levine, S

Reference 63

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Observation 60d5ae6c-a7a6-4dca-beee-76d1eccebf43 · outbound

This paper cites Efficient off-policy meta-reinforcement learning via probabilistic context variables.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Efficient off-policy meta-reinforcement learning via probabilistic context variables

Reference 64

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Observation 87b89c97-cf3f-487a-994d-a873bf6c236a · outbound

This paper cites J., Fidler, S., and Litany, O.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments J., Fidler, S., and Litany, O

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.335668Z

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Observation 3b880b53-a8d7-4ca5-a884-3b728f473cec · outbound

This paper cites B., Chen, X., and Wang, X.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments B., Chen, X., and Wang, X

Reference 66

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Observation f7823eb2-0ff8-439a-aa19-6b91830928f8 · outbound

This paper cites Risk-averse bayes-adaptive reinforcement learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Risk-averse bayes-adaptive reinforcement learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.319048Z

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Observation 5543703a-f2c1-4506-8bbd-850b2cf96ee3 · outbound

This paper cites Been there, done that: Meta-learning with episodic recall.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Been there, done that: Meta-learning with episodic recall

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.308943Z

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Observation 1eb0376d-39d5-47a8-b7d3-e9702776e451 · outbound

This paper cites T., Uryasev, S., et al.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments T., Uryasev, S., et al

Reference 69

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Observation 92992d40-807e-4363-8f8d-82445fdaa4f8 · outbound

This paper cites and Van Roy, B.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments and Van Roy, B

Reference 70

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Observation 9ab5554e-712c-4b3a-917b-27ab353a1863 · outbound

This paper cites W., Hashimoto, T.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments W., Hashimoto, T

Reference 71

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Observation c24aa8df-f8a0-4d30-83b2-fe21871d7f89 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Proximal Policy Optimization Algorithms

Reference 72

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Prompting is a double-edged sword: Improving worst-group robustness of foundation models

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.280010Z

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Observation c1138d65-1084-4484-8d0d-3887b3c25aed · outbound

This paper cites Counterfactual conservative q learning for offline multi-agent reinforcement learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Counterfactual conservative q learning for offline multi-agent reinforcement learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.269237Z

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Observation dca42403-e6b6-408d-9b0f-51f93d2c270a · outbound

This paper cites Complementary attention for multi-agent reinforcement learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Complementary attention for multi-agent reinforcement learning

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.258683Z

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Observation 454e847c-0d68-4e41-8062-4a923f958261 · outbound

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Unresolved cited work

Reference 76

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Policy gradient for coherent risk measures

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.241938Z

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Observation f346bfa0-9a39-4f98-b3e4-e66d4a83688d · outbound

This paper cites ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI

Reference 78

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Observation 7c8b863b-f3d3-47f5-97ba-99f315cfc6cf · outbound

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Unresolved cited work

Reference 79

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Domain Randomization via Entropy Maximization

Reference 80

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Observation f05afa65-1ef3-4159-9de9-1b58e8cd730c · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Domain randomization for transferring deep neural networks from simulation to the real world

Reference 81

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Mujoco: A physics engine for model-based control

Reference 82

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments N., Vapnik, V., et al

Reference 83

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This paper cites LLM-Empowered State Representation for Reinforcement Learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments LLM-Empowered State Representation for Reinforcement Learning

Reference 84

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation

Reference 85

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments and Van Hoof, H

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.207349Z

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Observation 332c131a-42bd-4c21-800c-77e06e2532a3 · outbound

This paper cites and Van Hoof, H.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments and Van Hoof, H

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.196751Z

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Observation e5755f72-9968-40e7-8150-c53782f0a346 · outbound

This paper cites and Van Hoof, H.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments and Van Hoof, H

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.186407Z

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Observation 3e54db66-d416-48ce-b0a7-f000105f813a · outbound

This paper cites Bridge the inference gaps of neural processes via expectation maximization.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Bridge the inference gaps of neural processes via expectation maximization

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.175111Z

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Observation 1819eff5-2710-4920-8ae0-32c5a4631aa6 · outbound

This paper cites Bridge the inference gaps of neural processes via expectation maximization.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Bridge the inference gaps of neural processes via expectation maximization

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.163804Z

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Observation 785659ff-e84c-45ef-a2a6-f488a576919b · outbound

This paper cites A simple yet effective strategy to robustify the meta learning paradigm.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments A simple yet effective strategy to robustify the meta learning paradigm

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.153016Z

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Observation b922284c-bd28-4f68-84e1-7b097446435b · outbound

This paper cites C., Xiao, Z., Mao, Y., Qu, Y., Shen, J., Lv, Y., and Ji, X.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments C., Xiao, Z., Mao, Y., Qu, Y., Shen, J., Lv, Y., and Ji, X

Reference 93

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Observation 9e805beb-f4c3-45a6-b04f-0c97540e7fb1 · outbound

This paper cites Max-min diversification with fairness constraints: Exact and approximation algorithms.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Max-min diversification with fairness constraints: Exact and approximation algorithms

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.142842Z

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Observation 50d7c5f2-06e2-4879-ba82-e4f9643a5733 · outbound

This paper cites Entropy-based active learning for object detection with progressive diversity constraint.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Entropy-based active learning for object detection with progressive diversity constraint

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.132062Z

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Observation 173e4ce0-585b-4a84-ac1c-48d876fc04cd · outbound

This paper cites Enhancing context-based meta-reinforcement learning algorithms via an efficient task encoder (student abstract).

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Enhancing context-based meta-reinforcement learning algorithms via an efficient task encoder (student abstract)

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.121864Z

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Observation 5ade9aee-9d27-4eb9-abbb-5de699f1a2ad · outbound

This paper cites Bayesian model-agnostic meta-learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Bayesian model-agnostic meta-learning

Reference 97

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Observation c8f669a2-91a3-409f-93e8-6bcc611ac78f · outbound

This paper cites In-sample actor critic for offline reinforcement learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments In-sample actor critic for offline reinforcement learning

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.105029Z

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Observation 79df17aa-53a6-4126-bccd-7de4dd4c6752 · outbound

This paper cites Combining active learning and semi-supervised learning using gaussian fields and harmonic functions.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Combining active learning and semi-supervised learning using gaussian fields and harmonic functions

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:07:20.094970Z

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Observation 0a639983-ad2c-4d88-b0bd-d292922863b0 · outbound

This paper cites VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Reference 100

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Observation d7272cf5-1381-4047-a0c9-7ee5a53ea186 · outbound

This paper cites write newline.

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments write newline

Reference 101

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