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Deep RL

3861 directly classified papers

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Papers

Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NIPS 2023
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging MIDL 2023
A Pragmatic Look at Deep Imitation Learning ACML 2023
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning ACML 2023
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games ACML 2023
KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking ACML 2023
Multi-objective Adaptive Dynamics Attention Model to Solve Multi-objective Vehicle Routing Problem ACML 2023
Deep Laplacian-based Options for Temporally-Extended Exploration ICML 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice ICML 2023
Model-based Offline Reinforcement Learning with Count-based Conservatism ICML 2023
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023
Curious Replay for Model-based Adaptation ICML 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023
Reinforcement Learning in Low-rank MDPs with Density Features ICML 2023
Convex Reinforcement Learning in Finite Trials JMLR 2023
Adaptation Augmented Model-based Policy Optimization JMLR 2023
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity JMLR 2023
q-Learning in Continuous Time JMLR 2023
Off-Policy Actor-Critic with Emphatic Weightings JMLR 2023
Temporal Abstraction in Reinforcement Learning with the Successor Representation JMLR 2023
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023
Reinforcement Learning for Joint Optimization of Multiple Rewards JMLR 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces AISTATS 2023
Learning to Terminate in Object Navigation ACML 2023