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Deep RL

3861 directly classified papers

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Papers

GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning ACL 2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints ICML 2023
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation L4DC 2023
What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023
Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023
A finite-sample analysis of multi-step temporal difference estimates L4DC 2023
Retrosynthetic Planning with Dual Value Networks ICML 2023
Uniformly Conservative Exploration in Reinforcement Learning AISTATS 2023
Near-Optimal Differentially Private Reinforcement Learning AISTATS 2023
Quantile Credit Assignment ICML 2023
Adaptive Ordered Information Extraction with Deep Reinforcement Learning ACL 2023
Policy Contrastive Imitation Learning ICML 2023
Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control L4DC 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning AISTATS 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum ICML 2023
Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023
Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization ICML 2023
Reward-Mixing MDPs with Few Latent Contexts are Learnable ICML 2023
Model-Based Uncertainty in Value Functions AISTATS 2023
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning ICML 2023
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis EMNLP 2023
Reader: Model-based language-instructed reinforcement learning EMNLP 2023
Reinforcement Learning for Adaptive Mesh Refinement AISTATS 2023