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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

What Can Learned Intrinsic Rewards Capture? ICML 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning ICML 2020
Invariant Causal Prediction for Block MDPs ICML 2020
Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound ICML 2020
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020
Optimizing Data Usage via Differentiable Rewards ICML 2020
Taylor Expansion Policy Optimization ICML 2020
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020
Constrained Markov Decision Processes via Backward Value Functions ICML 2020
Near-optimal Regret Bounds for Stochastic Shortest Path ICML 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning ACML 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning ACML 2020
Learning to Score Behaviors for Guided Policy Optimization ICML 2020
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020
Working Memory Graphs ICML 2020
Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning AISTATS 2020
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning AISTATS 2020
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning AISTATS 2020
Momentum in Reinforcement Learning AISTATS 2020
Discrete Action On-Policy Learning with Action-Value Critic AISTATS 2020
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration AISTATS 2020
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning AISTATS 2020
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems L4DC 2020