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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
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Papers (including subtopics)

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
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law 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
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints AAAI 2021
Exploration via State influence Modeling AAAI 2021
Metrics and Continuity in Reinforcement Learning AAAI 2021
Bayesian Distributional Policy Gradients AAAI 2021
Online Optimal Control with Affine Constraints AAAI 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021
Policy Optimization as Online Learning with Mediator Feedback AAAI 2021
Advice-Guided Reinforcement Learning in a non-Markovian Environment AAAI 2021
Distributional Reinforcement Learning via Moment Matching AAAI 2021
Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation AAAI 2021
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021
Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion AAAI 2021
Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021