Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change | Paper Citation Record

Observation 8bb213dc-9450-46f7-b3fd-2b6099c64b29 · outbound

This paper cites Mastering the game of go without human knowledge,.

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Mastering the game of go without human knowledge,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Mastering atari, go, chess and shogi by planning with a learned model,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Grandmaster level in starcraft ii using multi-agent reinforcement learning,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Dota 2 with Large Scale Deep Reinforcement Learning

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Reinforcement learning based recommender systems: A survey,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Deepmind ai reduces google data centre cooling bill by 40%,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Gnu-rl: A precocial reinforcement learning so- lution for building hvac control using a differentiable mpc policy,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Magnetic control of tokamak plasmas through deep reinforce- ment learning,

Reference 9

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Adversarial policies beat superhuman go ais,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Adaptation in constant utility non-stationary environments.,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Unresolved cited work

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Impact of timing in post-warning prepositioning decisions on performance measures of disaster management: A 163 real-life application,

Reference 13

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 14

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Learning optimal adap- tation strategies in unpredictable motor tasks,

Reference 15

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Reward learning: Reinforcement, incentives, and expectations,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Towards precision holography

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Deep neural networks for youtube rec- ommendations,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Scheduling on a budget: Avoiding stale recommendations with timely updates,

Reference 19

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Catastrophic interference in connectionist net- works: The sequential learning problem,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Learning to predict by the methods of temporal differences,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Analysis of temporal-diffference learning with func- tion approximation,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Human-level control through deep reinforcement learning,

Reference 23

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Deep Reinforcement Learning and the Deadly Triad

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Simple statistical gradient-following algorithms for connectionist reinforcement learning,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Asynchronous methods for deep reinforcement learning,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Distributed distributional deterministic policy gradients,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Scalable trust-region method for deep reinforcement learning using kronecker-factored approximation,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Soft actor-critic: Off-policy maxi- mum entropy deep reinforcement learning with a stochastic actor,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Dyna, an integrated architecture for learning, planning, and reacting,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Teaching on a budget: Agents advising agents in rein- forcement learning,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Online transfer learning in reinforcement learning do- mains,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change A survey on transfer learning,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Transfer learning for reinforcement learning domains: A survey.,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change A review of novelty detection,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Towards a unifying framework for formal theories of novelty,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Mixtbn: A fully test-time adaptation method for visual reinforce- ment learning on robotic manipulation,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Active test-time adaptation: Theoretical analyses and an algorithm,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Unknown sample discovery for source free open set domain adaptation,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Hidden-mode markov decision processes for nonstationary sequential decision making,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Choosing search heuristics by non-stationary reinforcement learn- ing,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Non-stationary reinforcement learning without prior knowledge: An optimal black-box approach,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Near-optimal model- free reinforcement learning in non-stationary episodic mdps,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Addressing environment non-stationarity by repeat- ing q-learning updates,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Non-stationary markov decision processes, a worst-case approach using model-based reinforcement learning,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Reactive exploration to cope with non-stationarity in life- long reinforcement learning,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Cross-modal domain adaptation for cost-efficient visual reinforcement learning,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Model-based nov- elty adaptation for open-world ai,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change An integrated architecture for online adaptation to novelty in open worlds using probabilistic programming and novelty-aware planning,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Online learning and online convex optimization,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Measuring catas- trophic forgetting in neural networks,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Reinforcement learning with gaussian pro- cesses,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change A multi-agent simulator for generating novelty in monopoly,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Novelty gen- eration framework for ai agents in angry birds style physics games,

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Schmidhuber, A possibility for implementing curiosity and boredom in model- building neural controllers, 1991

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