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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
672
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Papers (including subtopics)

Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021
Imitation by Predicting Observations ICML 2021
Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021
Prioritized Level Replay ICML 2021
Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021
The Emergence of Individuality ICML 2021
Emphatic Algorithms for Deep Reinforcement Learning ICML 2021
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs ICML 2021
Is Pessimism Provably Efficient for Offline RL? ICML 2021
Adversarial Option-Aware Hierarchical Imitation Learning ICML 2021
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ICML 2021
Optimal Off-Policy Evaluation from Multiple Logging Policies ICML 2021
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations ICML 2021
Off-Policy Confidence Sequences ICML 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm ICML 2021
Reward Identification in Inverse Reinforcement Learning ICML 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021
Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning ICML 2021
High Confidence Generalization for Reinforcement Learning ICML 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021
Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning ICML 2021
Adapting to misspecification in contextual bandits with offline regression oracles ICML 2021
Targeted Data Acquisition for Evolving Negotiation Agents ICML 2021