Calibrated Value-Aware Model Learning with Probabilistic Environment Models | Paper Citation Record

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This paper cites write newline.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models write newline

Reference 1

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This paper cites Policy-Aware Model Learning for Policy Gradient Methods.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Policy-Aware Model Learning for Policy Gradient Methods

Reference 2

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This paper cites A., Garg, A., and Farahmand, A.-m.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models A., Garg, A., and Farahmand, A.-m

Reference 3

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This paper cites Selective dyna-style planning under limited model capacity.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Selective dyna-style planning under limited model capacity

Reference 4

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This paper cites S., Courville, A., and Bellemare, M.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models S., Courville, A., and Bellemare, M

Reference 5

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This paper cites K., and Silver, D.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models K., and Silver, D

Reference 6

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This paper cites Learning near-optimal policies with bellman-residual minimization based fitted policy iteration and a single sample path.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Learning near-optimal policies with bellman-residual minimization based fitted policy iteration and a single sample path

Reference 7

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This paper cites Model-based reinforcement learning with value-targeted regression.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Model-based reinforcement learning with value-targeted regression

Reference 8

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This paper cites G., Naddaf , Y., Veness , J., and Bowling , M.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models G., Naddaf , Y., Veness , J., and Bowling , M

Reference 9

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 10

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 11

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This paper cites Sample-efficient reinforcement learning with stochastic ensemble value expansion.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Sample-efficient reinforcement learning with stochastic ensemble value expansion

Reference 12

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This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 13

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This paper cites and Rasmussen, C.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models and Rasmussen, C

Reference 14

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This paper cites M., Tirinzoni, A., Papini, M., and Restelli, M.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models M., Tirinzoni, A., Papini, M., and Restelli, M

Reference 15

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 16

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This paper cites Iterative value-aware model learning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Iterative value-aware model learning

Reference 17

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This paper cites Value-Aware Loss Function for Model-based Reinforcement Learning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Value-Aware Loss Function for Model-based Reinforcement Learning

Reference 18

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This paper cites Addressing function approximation error in actor-critic methods.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Addressing function approximation error in actor-critic methods

Reference 19

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This paper cites Addressing function approximation error in actor-critic methods.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Addressing function approximation error in actor-critic methods

Reference 20

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This paper cites Towards general-purpose model-free reinforcement learning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Towards general-purpose model-free reinforcement learning

Reference 21

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This paper cites Simplifying model-based RL : Learning representations, latent-space models, and policies with one objective.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Simplifying model-based RL : Learning representations, latent-space models, and policies with one objective

Reference 22

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This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Bootstrap your own latent-a new approach to self-supervised learning

Reference 23

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This paper cites The value equivalence principle for model-based reinforcement learning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models The value equivalence principle for model-based reinforcement learning

Reference 24

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Proper value equivalence

Reference 25

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This paper cites D., Thakoor, S., Pislar, M., Pires, B.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models D., Thakoor, S., Pislar, M., Pires, B

Reference 26

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This paper cites A distribution-free theory of nonparametric regression.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models A distribution-free theory of nonparametric regression

Reference 27

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This paper cites Dream to control: Learning behaviors by latent imagination.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Dream to control: Learning behaviors by latent imagination

Reference 28

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This paper cites P., Norouzi, M., and Ba, J.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models P., Norouzi, M., and Ba, J

Reference 29

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This paper cites Temporal difference learning for model predictive control.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Temporal difference learning for model predictive control

Reference 30

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This paper cites TD - MPC 2: Scalable, robust world models for continuous control.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models TD - MPC 2: Scalable, robust world models for continuous control

Reference 31

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This paper cites When to trust your model: Model-based policy optimization.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models When to trust your model: Model-based policy optimization

Reference 32

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This paper cites W., How, J.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models W., How, J

Reference 33

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models and Singh, S

Reference 34

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Objective mismatch in model-based reinforcement learning

Reference 35

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Efficient deep reinforcement learning requires regulating overfitting

Reference 36

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This paper cites I Can't Believe It's Not Better!.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models I Can't Believe It's Not Better!

Reference 37

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This paper cites Understanding and preventing capacity loss in reinforcement learning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Understanding and preventing capacity loss in reinforcement learning

Reference 38

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This paper cites Playing atari with deep reinforcement learning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Playing atari with deep reinforcement learning

Reference 39

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This paper cites Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice

Reference 40

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Sample complexity of reinforcement learning using linearly combined model ensembles

Reference 41

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This paper cites M., Broekens, J., Plaat, A., and Jonker, C.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models M., Broekens, J., Plaat, A., and Jonker, C

Reference 42

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 43

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This paper cites Bigger, regularized, optimistic: scaling for compute and sample-efficient continuous control.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Bigger, regularized, optimistic: scaling for compute and sample-efficient continuous control

Reference 44

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This paper cites Bridging state and history representations: Understanding self-predictive rl.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Bridging state and history representations: Understanding self-predictive rl

Reference 45

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This paper cites Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation

Reference 46

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Value prediction network

Reference 47

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This paper cites E., McIlraith, S.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models E., McIlraith, S

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:23.239233Z

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This paper cites Empirical design in reinforcement learning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Empirical design in reinforcement learning

Reference 49

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 50

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This paper cites Operator splitting value iteration.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Operator splitting value iteration

Reference 51

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Maximum entropy model correction in reinforcement learning

Reference 52

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Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 53

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Observation d0de21d0-45cf-43e0-a928-2e94dc30772f · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Mastering atari, go, chess and shogi by planning with a learned model

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:21.673186Z

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Observation 0011d39f-7327-492a-a1fd-eb9cbd97532a · outbound

This paper cites The predictron: end-to-end learning and planning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models The predictron: end-to-end learning and planning

Reference 55

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation acdd79cf-fa10-4002-b745-07dc9c1524c1 · outbound

This paper cites and Christmann, A.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models and Christmann, A

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:21.200251Z

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Observation 183002fc-b906-4493-a87b-66f9b7a2fc1e · outbound

This paper cites an unresolved cited work.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:09:21.005759Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68d7c7cc-6960-45b2-9576-61f954963fb9 · outbound

This paper cites Self-correcting models for model-based reinforcement learning.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Self-correcting models for model-based reinforcement learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:20.786604Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae8e201f-b7a0-4f44-ba68-bb9dbc8bc117 · outbound

This paper cites D., Richemond, P.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models D., Richemond, P

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:20.546180Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f67a08a6-636c-4daf-8d57-4aef4ce904ac · outbound

This paper cites dm\_control: Software and tasks for continuous control.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models dm\_control: Software and tasks for continuous control

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:20.292213Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7ed46a1-b0f2-47fd-aa6c-8727858f6ed8 · outbound

This paper cites A., Liao, V., Garg, A., and Farahmand, A.-m.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models A., Liao, V., Garg, A., and Farahmand, A.-m

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:20.071404Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cbe52414-dbd5-4250-a01b-02b61ff5b5a6 · outbound

This paper cites A., Kastner, T., Gilitschenski, I., and Farahmand, A.-m.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models A., Kastner, T., Gilitschenski, I., and Farahmand, A.-m

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:19.825818Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12b1790f-1c83-415b-867e-9716abed2893 · outbound

This paper cites A., Hussing, M., Eaton, E., Farahmand, A.-m., and Gilitschenski, I.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models A., Hussing, M., Eaton, E., Farahmand, A.-m., and Gilitschenski, I

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:19.518431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2e34706-9676-4334-87b9-ea90b3582e3e · outbound

This paper cites an unresolved cited work.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:09:19.263211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33dc1d4a-b64c-4907-9657-800466c5a68b · outbound

This paper cites Mastering atari games with limited data.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Mastering atari games with limited data

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:18.952675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a99d0f2-4113-45f4-a4a2-6fbae0ef3494 · outbound

This paper cites @esa (Ref.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models @esa (Ref

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:17.473662Z

Source-reported events for the cited work

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Observation e4377d2c-cd47-4901-a6bb-d79b807adcb3 · outbound

This paper cites an unresolved cited work.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 67

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Source-reported events for the cited work

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Observation 79b5efcf-f05b-4965-9a93-6145e883ca8c · outbound

This paper cites an unresolved cited work.

Calibrated Value-Aware Model Learning with Probabilistic Environment Models Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:09:18.744992Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers