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Deep RL

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Papers

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search AAAI 2021 Learning to Switch Optimizers for Quadratic Programming ACML 2021 Learning to Synthesize Programs as Interpretable and Generalizable Policies NeurIPS 2021 Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning CoRL 2021 Learning Value Functions in Deep Policy Gradients using Residual Variance ICLR 2021 Learning with AMIGo: Adversarially Motivated Intrinsic Goals ICLR 2021 Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021 Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021 LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory L4DC 2021 Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract) AAAI 2021 Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards ICML 2021 Logarithmic Regret for Reinforcement Learning with Linear Function Approximation ICML 2021 Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention CoRL 2021 Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision ICML 2021 LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks CoRL 2021 Machine versus Human Attention in Deep Reinforcement Learning Tasks NeurIPS 2021 MADE: Exploration via Maximizing Deviation from Explored Regions NeurIPS 2021 MAGIC: Learning Macro-Actions for Online POMDP Planning RSS 2021 MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents NeurIPS 2021 Mastering Atari Games with Limited Data NeurIPS 2021 Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021 Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021 MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning ICCV 2021 ME-MCTS: Online Generalization by Combining Multiple Value Estimators IJCAI 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021