reinforcement learning

4122 papers

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Also known as

RLVR HARL GRPO RL PPO REINFORCE RFT DRL RL NULL LQR RLHF

Co-occurring keywords

large language model (12755) policy learning (699) markov decision process (788) policy gradient (518) policy optimization (630) deep reinforcement learning (903) multi-agent system (1743) imitation learning (741) regret bound (1918) language model (4573)

Papers

ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines ICML 2023

The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023

The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning ICML 2023

RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents ICML 2023

StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes ICML 2023

Representation-Driven Reinforcement Learning ICML 2023

SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning AAAI 2023

Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning ICML 2023

Explaining Reinforcement Learning with Shapley Values ICML 2023

Understanding Plasticity in Neural Networks ICML 2023

What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023

Retrosynthetic Planning with Dual Value Networks ICML 2023

Performative Reinforcement Learning ICML 2023

Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023

Emergent Agentic Transformer from Chain of Hindsight Experience ICML 2023

Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL ICML 2023

Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023

Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023

Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice ICML 2023

Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023

Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023

Bootstrapped Representations in Reinforcement Learning ICML 2023

Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions EMNLP 2023

Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023

Tuna: Instruction Tuning using Feedback from Large Language Models EMNLP 2023