Adaptive representations for reinforcement learning

von Whiteson, Shimon
Veröffentlicht 2010

DAC: THE DOUBLE ACTOR-CRITIC ARCHITECTURE FOR LEARNING OPTIONS

von Zhang, Shangtong
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 3 of 20 (2020)

GRADIENTDICE: RETHINKING GENERALIZED OFFLINE ESTIMATIONOF STATIONARY VALUES

von Zhang, Shangtong
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 15 of 15 (2021)

Bayesian Bellman Operators

von Fellows, Mattie
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 17 of 36 (2022)

BREAKING THE DEADLY TRIAD WITH A TARGET NETWORK

von ZHANG, SHANGTONG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 16 of 16 (2022)

GENERALIZED OFF-POLICY ACTOR-CRITIC

von Zhang, Shangtong
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 3 of 20 (2020)

LEARNING RETROSPECTIVE KNOWLEDGE WITH REVERSE REINFORCEMENT LEARNING

von Zhang, Shangtong
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)

DEEP RESIDUAL REINFORCEMENT LEARNING

von Zhang, Shangtong
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 3 of 3 (2021)

LOADED DICE: TRADING OFF BIAS AND VARIANCE IN ANY-ORDER SCORE FUNCTION GRADIENT ESTIMATORS FOR REINFORCEMENT LEARNING

von Farquhar, Gregory
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

FAST EFFICIENT HYPERPARAMETER TUNING FOR POLICY GRADIENT METHODS

von Paul, Supratik
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 6 of 20 (2020)

PROVABLY CONVERGENT TWO-TIMESCALE OFF-POLICY ACTOR-CRITIC WITH FUNCTION APPROXIMATION

von Zhang, Shangtong
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 15 of 15 (2021)

Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing

von Blake, Charles
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 29 of 36 (2022)

CAN Q-LEARNING WITH GRAPH NETWORKS LEARN A GENERALIZABLE BRANCHING HEURISTIC FOR A SAT SOLVER?

von Kurin, Vitaly
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 12 of 27 (2021)

WEIGHWEIGHTED QMIX: EXPANDING MONOTONIC VALUE FUNCTION FACTORISATION FOR DEEP MULTI-AGENT REINFORCEMENT LEARNING

von Rashid, Tabish
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)

MAVEN: MULTI-AGENT VARIATIONAL EXPLORATION

von Mahajan, Anuj
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

AVERAGE-REWARD OFF-POLICY POLICY EVALUATION WITH FUNCTION APPROXIMATION

von ZHANG, SHANGTONG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 16 of 16 (2022)

VIREL: A VARIATIONAL INFERENCE FRAMEWORK FOR REINFORCEMENT LEARNING

von Fellows, Matthew
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 9 of 20 (2020)

UNEVEN: UNIVERSAL VALUE EXPLORATION FOR MULTI-AGENT REINFORCEMENT LEARNING

von GUPTA, TARUN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 5 of 16 (2022)

Regularized Softmax Deep Multi-Agent Q-Learning

von Pan, Ling
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 2 of 36 (2022)

MAXIMIZING INFORMATION GAIN IN PARTIALLY OBSERVABLE ENVIRONMENTS VIA PREDICTION REWARDS

von Satsangi, Yash
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 2 of 3 (2021)