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Deep RL

3,861 papers

Papers per year

Papers

Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls JMLR 2021
Collect & Infer - a fresh look at data-efficient Reinforcement Learning CORL 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space ICML 2021
Hierarchical Reinforcement Learning for Integrated Recommendation AAAI 2021
Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach JMLR 2021
Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning AAAI 2021
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021
Neuro-Symbolic Reinforcement Learning with First-Order Logic EMNLP 2021
Safe Reinforcement Learning by Imagining the Near Future NIPS 2021
A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning IJCNLP 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment ICML 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NIPS 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots CORL 2021
Reinforcement Learning in Newcomblike Environments NIPS 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration IJCAI 2021
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation WACV 2021
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation JMLR 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study RSS 2021
Value Iteration in Continuous Actions, States and Time ICML 2021
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback NIPS 2021
Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract) AAAI 2021
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs ICML 2021
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning RSS 2021
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks ACL 2021