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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training ICML 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021
Inverse Constrained Reinforcement Learning ICML 2021
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs ICML 2021
Adaptive Sampling for Best Policy Identification in Markov Decision Processes ICML 2021
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021
Fast active learning for pure exploration in reinforcement learning ICML 2021
UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021
Emergent Social Learning via Multi-agent Reinforcement Learning ICML 2021
Policy Caches with Successor Features ICML 2021
Interactive Learning from Activity Description ICML 2021
Nonmyopic Multifidelity Acitve Search ICML 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021
Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021
A New Formalism, Method and Open Issues for Zero-Shot Coordination ICML 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL ICML 2021
Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021
Task-Optimal Exploration in Linear Dynamical Systems ICML 2021
Learning and Planning in Average-Reward Markov Decision Processes ICML 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021