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Deep RL

3,861 papers

Papers per year

Papers

Self-supervised representations for multi-view reinforcement learning UAI 2022
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs ICML 2022
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions NIPS 2022
Learning by Competition of Self-Interested Reinforcement Learning Agents AAAI 2022
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework NIPS 2022
Contrastive Inductive Bias Controlling Networks for Reinforcement Learning ACML 2022
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning ICML 2022
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning NIPS 2022
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity ICML 2022
Learning Dynamics and Generalization in Deep Reinforcement Learning ICML 2022
Mask-based Latent Reconstruction for Reinforcement Learning NIPS 2022
Table2Graph: Transforming Tabular Data to Unified Weighted Graph IJCAI 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation AISTATS 2022
Efficient Continuous Control with Double Actors and Regularized Critics AAAI 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy NIPS 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022
Learning to Share in Networked Multi-Agent Reinforcement Learning NIPS 2022
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning NIPS 2022
Deep Reinforcement Learning for Entity Alignment ACL 2022
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees NIPS 2022
Gated Spatio-Temporal Attention-Guided Video Deblurring CVPR 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints NIPS 2021
Neural Algorithmic Reasoners are Implicit Planners NIPS 2021
Planning from Pixels in Atari with Learned Symbolic Representations AAAI 2021