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Reinforcement Learning

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Papers

Model Selection in Batch Policy Optimization ICML 2022
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning ICML 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks ICML 2022
Zero-Shot Reward Specification via Grounded Natural Language ICML 2022
Learning Stochastic Shortest Path with Linear Function Approximation ICML 2022
A Simple Reward-free Approach to Constrained Reinforcement Learning ICML 2022
The Importance of Non-Markovianity in Maximum State Entropy Exploration ICML 2022
Improved Regret for Differentially Private Exploration in Linear MDP ICML 2022
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs ICML 2022
Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022
The Primacy Bias in Deep Reinforcement Learning ICML 2022
Constrained Offline Policy Optimization ICML 2022
Direct Behavior Specification via Constrained Reinforcement Learning ICML 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings ICML 2022
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes ICML 2022
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems ICML 2022
Generalised Policy Improvement with Geometric Policy Composition ICML 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022
A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022
Interpretable Off-Policy Learning via Hyperbox Search ICML 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes ICML 2022
Safe Exploration for Efficient Policy Evaluation and Comparison ICML 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022