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Reinforcement Learning

9,982 papers (145 classified directly here)

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Papers (including subtopics)

Stable-Baselines3: Reliable Reinforcement Learning Implementations JMLR 2021 State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits IJCAI 2021 State Entropy Maximization with Random Encoders for Efficient Exploration ICML 2021 State Relevance for Off-Policy Evaluation ICML 2021 State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract) AAAI 2021 Stochastic Actor-Executor-Critic for Image-to-Image Translation IJCAI 2021 Stochastic Policy Optimization with Heuristic Information for Robot Learning CoRL 2021 Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret NeurIPS 2021 Storchastic: A Framework for General Stochastic Automatic Differentiation NeurIPS 2021 STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation CoRL 2021 Strategically efficient exploration in competitive multi-agent reinforcement learning UAI 2021 Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks AAAI 2021 Strength Through Diversity: Robust Behavior Learning via Mixture Policies CoRL 2021 Structural Credit Assignment in Neural Networks using Reinforcement Learning NeurIPS 2021 Structured World Belief for Reinforcement Learning in POMDP ICML 2021 Subgame solving without common knowledge NeurIPS 2021 Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning NeurIPS 2021 Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning NeurIPS 2021 Successor Feature Sets: Generalizing Successor Representations Across Policies AAAI 2021 SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021 Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications AAAI 2021 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NeurIPS 2021 Symmetry-Aware Actor-Critic for 3D Molecular Design ICLR 2021 Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning AAAI 2021