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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

Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021
Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021
Detecting Rewards Deterioration in Episodic Reinforcement Learning ICML 2021
Adversarial Policy Learning in Two-player Competitive Games ICML 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning ICML 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021
Learning and Planning in Complex Action Spaces ICML 2021
Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021
Prioritized Level Replay ICML 2021
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) AAAI 2021
Efficient Poverty Mapping from High Resolution Remote Sensing Images AAAI 2021
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images AAAI 2021
FontRL: Chinese Font Synthesis via Deep Reinforcement Learning AAAI 2021
Embodied Visual Active Learning for Semantic Segmentation AAAI 2021
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021
Deep Bayesian Quadrature Policy Optimization AAAI 2021
Sample-Specific Output Constraints for Neural Networks AAAI 2021
Transfer Learning for Efficient Iterative Safety Validation AAAI 2021
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021
Reinforcement Learning with Trajectory Feedback AAAI 2021
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning AAAI 2021
Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks AAAI 2021