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Deep RL

3861 directly classified papers

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Papers

VO$Q$L: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation COLT 2023
Active Coverage for PAC Reinforcement Learning COLT 2023
Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes COLT 2023
Rotating without Seeing: Towards In-hand Dexterity through Touch RSS 2023
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training RSS 2023
Causal Policy Gradient for Whole-Body Mobile Manipulation RSS 2023
Learning and Adapting Agile Locomotion Skills by Transferring Experience RSS 2023
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning RSS 2023
Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning RSS 2023
Probabilistic Robustness for Data Filtering EACL 2023
Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning EACL 2023
RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System EACL 2023
Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues EACL 2023
Scaling Laws for Reward Model Overoptimization ICML 2023
Non-stationary Reinforcement Learning under General Function Approximation ICML 2023
Weighted Sampling without Replacement for Deep Top-$k$ Classification ICML 2023
Hyperparameters in Reinforcement Learning and How To Tune Them ICML 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models ICML 2023
Reinforcement Learning Can Be More Efficient with Multiple Rewards ICML 2023
ContraBAR: Contrastive Bayes-Adaptive Deep RL ICML 2023
Semi-Offline Reinforcement Learning for Optimized Text Generation ICML 2023
On the Statistical Benefits of Temporal Difference Learning ICML 2023
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition ICML 2023
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning ICML 2023
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning ICML 2023