Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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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)
Mirror Descent Policy Optimization
ICLR 2022
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication
RSS 2022
Mirror Learning: A Unifying Framework of Policy Optimisation
ICML 2022
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
NeurIPS 2022
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
NeurIPS 2022
MoCoDA: Model-based Counterfactual Data Augmentation
NeurIPS 2022
Model-augmented Prioritized Experience Replay
ICLR 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
NeurIPS 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
ICML 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
ICLR 2022
Model-Based Offline Planning with Trajectory Pruning
IJCAI 2022
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief
NeurIPS 2022
Model-Based Opponent Modeling
NeurIPS 2022
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
NeurIPS 2022
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
NeurIPS 2022
Model-free Policy Learning with Reward Gradients
AISTATS 2022
Modeling Human Exploration Through Resource-Rational Reinforcement Learning
NeurIPS 2022
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors
L4DC 2022
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
ICML 2022
Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information
IJCAI 2022
Model Selection in Batch Policy Optimization
ICML 2022
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
ICML 2022
Modular Lifelong Reinforcement Learning via Neural Composition
ICLR 2022
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations
NeurIPS 2022
Motron: Multimodal Probabilistic Human Motion Forecasting
CVPR 2022