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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories ICML 2023
Counterfactual Learning with General Data-Generating Policies AAAI 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes ICML 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning ICML 2023
Online Reinforcement Learning with Uncertain Episode Lengths AAAI 2023
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning AAAI 2023
Goal-Conditioned Q-learning as Knowledge Distillation AAAI 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control AAAI 2023
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023
Q-functionals for Value-Based Continuous Control AAAI 2023
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning AAAI 2023
The Benefits of Model-Based Generalization in Reinforcement Learning ICML 2023
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics ICML 2023
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML 2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers ICML 2023
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes ICML 2023
Online Prototype Alignment for Few-shot Policy Transfer ICML 2023
On the Convergence of SARSA with Linear Function Approximation ICML 2023
Temporal Abstraction in Reinforcement Learning with the Successor Representation JMLR 2023
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks JMLR 2023
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023