Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
2
2
9
27
30
36
20
43
49
59
61
58
51
83
216
419
722
966
1,128
1,156
1,384
1,648
1,445
362
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Papers (including subtopics)
Reset-Free Lifelong Learning with Skill-Space Planning
ICLR 2021
Residual Pathway Priors for Soft Equivariance Constraints
NeurIPS 2021
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
AAAI 2021
[RETRACTED] WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue
ACL 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning
ICLR 2021
Re-understanding Finite-State Representations of Recurrent Policy Networks
ICML 2021
Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning
ICML 2021
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
ICML 2021
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation
NAACL 2021
Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract)
AAAI 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
L4DC 2021
Reward-Constrained Behavior Cloning
IJCAI 2021
Reward Identification in Inverse Reinforcement Learning
ICML 2021
Reward is enough for convex MDPs
NeurIPS 2021
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation
ACL 2021
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization
EMNLP 2021
Risk-Averse Learning by Temporal Difference Methods with Markov Risk Measures
JMLR 2021
Risk-Averse Offline Reinforcement Learning
ICLR 2021
Risk-Aware Transfer in Reinforcement Learning using Successor Features
NeurIPS 2021
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
ICML 2021
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
ICML 2021
RL for Latent MDPs: Regret Guarantees and a Lower Bound
NeurIPS 2021
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)
AAAI 2021
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
NeurIPS 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
NeurIPS 2021