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
'5
'10
'15
'20
'25
Papers (including subtopics)
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
NeurIPS 2021
Benchmarks for Deep Off-Policy Evaluation
ICLR 2021
Better Aggregation in Test-Time Augmentation
ICCV 2021
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
CoRL 2021
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
NeurIPS 2021
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
ICML 2021
Bias-Robust Bayesian Optimization via Dueling Bandits
ICML 2021
Bilinear Classes: A Structural Framework for Provable Generalization in RL
ICML 2021
BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills
IJCAI 2021
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning
ICLR 2021
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning
RSS 2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling
IJCAI 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
ICML 2021
BooVI: Provably Efficient Bootstrapped Value Iteration
NeurIPS 2021
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory
AAAI 2021
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
ACML 2021
Breaking the Deadly Triad with a Target Network
ICML 2021
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
NeurIPS 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
NeurIPS 2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
NeurIPS 2021
Bridging the Imitation Gap by Adaptive Insubordination
NeurIPS 2021
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
CoRL 2021
Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning
ACML 2021
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization
ICCV 2021
Causal Confusion Reduction for Robust Multi-Domain Dialogue Policy
Interspeech 2021