| Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning | Sep 25, 2019 | continuous-controlContinuous Control | —Unverified | 0 |
| Learning Latent Representations for Inverse Dynamics using Generalized Experiences | Sep 25, 2019 | Deep Reinforcement LearningMuJoCo | —Unverified | 0 |
| Deep exploration by novelty-pursuit with maximum state entropy | Sep 25, 2019 | Efficient ExplorationMuJoCo | —Unverified | 0 |
| CrossNorm: On Normalization for Off-Policy Reinforcement Learning | Sep 25, 2019 | MuJoCoreinforcement-learning | —Unverified | 0 |
| Collaborative Inter-agent Knowledge Distillation for Reinforcement Learning | Sep 25, 2019 | Decision MakingKnowledge Distillation | —Unverified | 0 |
| Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning | Sep 17, 2019 | continuous-controlContinuous Control | —Unverified | 0 |
| MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning | Sep 17, 2019 | MuJoCoOpenAI Gym | CodeCode Available | 0 |
| Biased Estimates of Advantages over Path Ensembles | Sep 15, 2019 | Atari Gamescontinuous-control | —Unverified | 0 |
| Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space | Sep 15, 2019 | continuous-controlContinuous Control | —Unverified | 0 |
| Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning | Sep 11, 2019 | MuJoCoQ-Learning | —Unverified | 0 |
