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Deep RL

3861 directly classified papers

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Papers

TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning EMNLP 2023
Improving Dialogue Discourse Parsing via Reply-to Structures of Addressee Recognition EMNLP 2023
Diffused Task-Agnostic Milestone Planner NIPS 2023
Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback NIPS 2023
Taylor TD-learning NIPS 2023
Adversarial Model for Offline Reinforcement Learning NIPS 2023
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks NIPS 2023
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning NIPS 2023
Language Model Alignment with Elastic Reset NIPS 2023
Hybrid Policy Optimization from Imperfect Demonstrations NIPS 2023
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control NIPS 2023
Learning non-Markovian Decision-Making from State-only Sequences NIPS 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization NIPS 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation NIPS 2023
Finite-Time Analysis of Single-Timescale Actor-Critic NIPS 2023
Generating Behaviorally Diverse Policies with Latent Diffusion Models NIPS 2023
Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks NIPS 2023
A Long $N$-step Surrogate Stage Reward for Deep Reinforcement Learning NIPS 2023
On the Importance of Exploration for Generalization in Reinforcement Learning NIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration NIPS 2023
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning NIPS 2023
Goal-conditioned Offline Planning from Curious Exploration NIPS 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems NIPS 2023
ELDEN: Exploration via Local Dependencies NIPS 2023
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark NIPS 2023