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reinforcement learning

4352 papers

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Also known as

RL REINFORCE

Co-occurring keywords

large language model (13587) policy learning (702) markov decision process (790) policy optimization (657) policy gradient (520) deep reinforcement learning (903) multi-agent system (1819) imitation learning (744) regret bound (1926) language model (4599)

Papers

DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation CORL 2022
Legged Locomotion in Challenging Terrains using Egocentric Vision CORL 2022
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops CORL 2022
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems NIPS 2022
Learning Knowledge Graph-based World Models of Textual Environments NIPS 2021
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation IJCNLP 2021
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics NIPS 2021
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning NIPS 2021
RMM: Reinforced Memory Management for Class-Incremental Learning NIPS 2021
On the Theory of Reinforcement Learning with Once-per-Episode Feedback NIPS 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods AAAI 2021
Expected Eligibility Traces AAAI 2021
On Convergence of Gradient Expected Sarsa(λ) AAAI 2021
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning AAAI 2021
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021
Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021
Language Model Augmented Relevance Score ACL 2021
Domain-Specific Multi-Agent Dialog Policy Learning in Multi-Domain Task-Oriented Scenarios INTERSPEECH 2021
State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract) AAAI 2021
Extending Policy Shaping to Continuous State Spaces (Student Abstract) AAAI 2021
Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract) AAAI 2021
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) AAAI 2021
Global Fusion Attention for Vision and Language Understanding (Student Abstract) AAAI 2021