| Fine-Tuning Offline Reinforcement Learning with Model-Based Policy Optimization | Jan 1, 2021 | D4RLMuJoCo | —Unverified | 0 |
| Practical Marginalized Importance Sampling with the Successor Representation | Jan 1, 2021 | Deep Reinforcement LearningMuJoCo | —Unverified | 0 |
| CAT-SAC: Soft Actor-Critic with Curiosity-Aware Entropy Temperature | Jan 1, 2021 | MuJoCoReinforcement Learning (RL) | —Unverified | 0 |
| Adaptive N-step Bootstrapping with Off-policy Data | Jan 1, 2021 | Atari GamesMuJoCo | —Unverified | 0 |
| Intrinsically Guided Exploration in Meta Reinforcement Learning | Jan 1, 2021 | Deep Reinforcement LearningEfficient Exploration | —Unverified | 0 |
| Invariant Representations for Reinforcement Learning without Reconstruction | Jan 1, 2021 | Causal InferenceMuJoCo | —Unverified | 0 |
| TEAC: Intergrating Trust Region and Max Entropy Actor Critic for Continuous Control | Jan 1, 2021 | continuous-controlContinuous Control | CodeCode Available | 0 |
| PGPS : Coupling Policy Gradient with Population-based Search | Jan 1, 2021 | Deep Reinforcement LearningMuJoCo | —Unverified | 0 |
| Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards | Dec 26, 2020 | continuous-controlContinuous Control | CodeCode Available | 0 |
| OPAC: Opportunistic Actor-Critic | Dec 11, 2020 | continuous-controlContinuous Control | —Unverified | 0 |
