| Deep exploration by novelty-pursuit with maximum state entropy | Sep 25, 2019 | Efficient ExplorationMuJoCo | —Unverified | 0 |
| Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance | Nov 17, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| Decorrelated Double Q-learning | Jun 12, 2020 | continuous-controlContinuous Control | —Unverified | 0 |
| Adapting Double Q-Learning for Continuous Reinforcement Learning | Sep 25, 2023 | MuJoCoQ-Learning | —Unverified | 0 |
| AgentMixer: Multi-Agent Correlated Policy Factorization | Jan 16, 2024 | Imitation LearningMuJoCo | —Unverified | 0 |
| SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning | Mar 3, 2025 | MuJoCoMulti-agent Reinforcement Learning | —Unverified | 0 |
| Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games | Oct 30, 2022 | Deep Reinforcement LearningImitation Learning | —Unverified | 0 |
| Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration | Nov 11, 2024 | continuous-controlContinuous Control | —Unverified | 0 |
| Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies | Jun 12, 2022 | continuous-controlContinuous Control | —Unverified | 0 |
| DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning | Jun 26, 2020 | continuous-controlContinuous Control | —Unverified | 0 |
