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,

Reference 3

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

Reference 4

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Reference 5

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

Reference 6

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

Reference 7

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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,

Reference 10

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

Reference 11

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

Reference 12

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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,

Reference 16

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

Reference 17

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

Reference 18

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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,

Reference 20

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

Reference 21

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

Reference 22

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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

Reference 24

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

Reference 25

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

Reference 26

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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,

Reference 27

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Reference 28

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

Reference 29

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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,

Reference 30

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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,

Reference 31

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Reference 32

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Reference 33

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

Reference 34

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Reference 35

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Reference 36

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Reference 37

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Reference 38

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Reference 39

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Reference 40

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Reference 41

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Reference 42

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Reference 43

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Reference 44

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Reference 45

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Reference 46

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Reference 47

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Reference 48

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Reference 49

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Reference 50

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Reference 51

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Reference 52

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Reference 53

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Reference 54

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Reference 55

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Reference 56

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Reference 57

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Reference 58

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Reference 59

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Reference 60

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Reference 61

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Reference 62

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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,

Reference 63

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

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.661472Z

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

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.673376Z

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

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.682328Z

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This paper cites A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts.

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

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.692146Z

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

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.701112Z

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

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.709383Z

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Open-world learning for radically autonomous agents,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.717946Z

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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,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.730032Z

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

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.745099Z

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

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.754014Z

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

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.775138Z

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

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.786510Z

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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,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.799270Z

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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,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.811735Z

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Non-stationary reinforcement learning under general function approximation,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.819317Z

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

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.826698Z

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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,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.839173Z

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Reinforcement learning algorithm for non-stationary environments,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.847130Z

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This paper cites Reactive exploration to cope with non-stationarity in life- long reinforcement learning,.

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

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.858236Z

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Transfer in reinforcement learning: A framework and a survey,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.872781Z

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

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.881669Z

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Deep reinforcement learning amidst lifelong non- stationarity,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.889965Z

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

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.900392Z

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Detecting and adapting to novelty in games,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.906124Z

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This paper cites Spotter: Extending symbolic planning operators through targeted reinforcement learning,.

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Spotter: Extending symbolic planning operators through targeted reinforcement learning,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.915271Z

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Observation d3c11078-a8b5-47ed-a070-7c91546c2ea9 · outbound

This paper cites An integrated architecture for online adaptation to novelty in open worlds using probabilistic programming and novelty-aware planning,.

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,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.929097Z

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This paper cites Lifelong machine learning systems: Beyond learning algorithms,.

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Lifelong machine learning systems: Beyond learning algorithms,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.938416Z

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This paper cites Online learning and online convex optimization,.

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

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.947252Z

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This paper cites Introduction to online convex optimization,.

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Introduction to online convex optimization,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.955337Z

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This paper cites Measuring catas- trophic forgetting in neural networks,.

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

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.963420Z

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This paper cites Memory efficient experience replay for streaming learning,.

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Memory efficient experience replay for streaming learning,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.971825Z

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This paper cites Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer.

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

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:16:02.803170Z

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

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.987683Z

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Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change Chevalier-Boisvert, L

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:59.994086Z

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This paper cites A multi-agent simulator for generating novelty in monopoly,.

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

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T21:16:00.004212Z

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This paper cites Novelty gen- eration framework for ai agents in angry birds style physics games,.

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

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-15T21:16:00.012629Z

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Observation 405165c0-6884-4373-b9d5-c509a3d9a614 · outbound

This paper cites Schmidhuber, A possibility for implementing curiosity and boredom in model- building neural controllers, 1991.

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

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T21:16:00.018724Z

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