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Reinforcement Learning

2,932 papers

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Papers

Deep Radial-Basis Value Functions for Continuous Control AAAI 2021
Relative Variational Intrinsic Control 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
Loop Estimator for Discounted Values in Markov Reward Processes AAAI 2021
Reinforcement Learning with Trajectory Feedback AAAI 2021
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances AAAI 2021
Stabilizing Q Learning Via Soft Mellowmax Operator AAAI 2021
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning AAAI 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021
Learning to Reweight Imaginary Transitions for Model-Based 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
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021
Metrics and Continuity in Reinforcement Learning AAAI 2021
Learning from eXtreme Bandit Feedback AAAI 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021
Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality AAAI 2021
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation AAAI 2021
Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021
Self-Supervised Attention-Aware Reinforcement Learning AAAI 2021