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Deep RL

3861 directly classified papers

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Papers

Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024
Parameterized Projected Bellman Operator AAAI 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NIPS 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning CVPR 2024
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement IJCAI 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024
Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System AAAI 2024
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective AAAI 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NIPS 2024
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning AAAI 2024
Learning and deploying robust locomotion policies with minimal dynamics randomization L4DC 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024
Robust exploration with adversary via Langevin Monte Carlo L4DC 2024
Learning Diverse Risk Preferences in Population-Based Self-Play AAAI 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
Sample Complexity Characterization for Linear Contextual MDPs AISTATS 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery AAAI 2024