| On the Reuse Bias in Off-Policy Reinforcement Learning | Sep 15, 2022 | continuous-controlContinuous Control | CodeCode Available | 0 |
| Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction | Sep 2, 2022 | MuJoCoMulti-agent Reinforcement Learning | —Unverified | 0 |
| Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization | Sep 1, 2022 | Bayesian InferenceKnowledge Distillation | —Unverified | 0 |
| Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking | Aug 22, 2022 | MuJoCoReinforcement Learning (RL) | —Unverified | 0 |
| Entropy Augmented Reinforcement Learning | Aug 19, 2022 | Deep Reinforcement LearningMuJoCo | —Unverified | 0 |
| Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games | Aug 19, 2022 | MuJoCoReinforcement Learning (RL) | —Unverified | 0 |
| A Game-Theoretic Perspective of Generalization in Reinforcement Learning | Aug 7, 2022 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts | Aug 4, 2022 | Generative Adversarial NetworkModel-based Reinforcement Learning | —Unverified | 0 |
| Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL | Aug 2, 2022 | MuJoCoMulti-agent Reinforcement Learning | —Unverified | 0 |
| Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization | Jul 29, 2022 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 0 |
