| BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization | Aug 1, 2023 | Bilevel OptimizationDiversity | CodeCode Available | 0 | 5 |
| Decision Transformer under Random Frame Dropping | Mar 3, 2023 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 0 | 5 |
| Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics | Feb 17, 2024 | MuJoCoRepresentation Learning | CodeCode Available | 0 | 5 |
| Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients | Sep 24, 2021 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning | May 30, 2022 | Data PoisoningDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
| Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning | Feb 1, 2020 | Knowledge DistillationMuJoCo | CodeCode Available | 0 | 5 |
| BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning | Oct 27, 2019 | Deep Reinforcement LearningImitation Learning | CodeCode Available | 0 | 5 |
| Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards | Dec 26, 2020 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Leveraging exploration in off-policy algorithms via normalizing flows | May 16, 2019 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy | Jul 25, 2022 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Bootstrapping the Expressivity with Model-based Planning | Sep 25, 2019 | modelMuJoCo | CodeCode Available | 0 | 5 |
| A dynamical clipping approach with task feedback for Proximal Policy Optimization | Dec 12, 2023 | Language ModellingLarge Language Model | CodeCode Available | 0 | 5 |
| Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari | Feb 24, 2018 | Atari GamesBenchmarking | CodeCode Available | 0 | 5 |
| Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization | Jul 29, 2022 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 0 | 5 |
| Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning | Jun 24, 2025 | Meta Reinforcement LearningMuJoCo | CodeCode Available | 0 | 5 |
| Learning to Play Cup-and-Ball with Noisy Camera Observations | Jul 19, 2020 | MuJoCo | CodeCode Available | 0 | 5 |
| Learning What To Do by Simulating the Past | Apr 8, 2021 | MuJoCo | CodeCode Available | 0 | 5 |
| LLMs for sensory-motor control: Combining in-context and iterative learning | Jun 5, 2025 | MuJoCo | CodeCode Available | 0 | 5 |
| Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning | Nov 22, 2018 | Hierarchical Reinforcement LearningMuJoCo | CodeCode Available | 0 | 5 |
| Evolutionary Stochastic Policy Distillation | Apr 27, 2020 | MuJoCoReinforcement Learning | CodeCode Available | 0 | 5 |
| Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation | Mar 27, 2025 | MuJoCoSMAC | CodeCode Available | 0 | 5 |
| Calibrated Model-Based Deep Reinforcement Learning | Jun 19, 2019 | Deep Reinforcement Learningmodel | CodeCode Available | 0 | 5 |
| Learning Calibratable Policies using Programmatic Style-Consistency | Oct 2, 2019 | Imitation LearningMuJoCo | CodeCode Available | 0 | 5 |
| Learning non-Markovian Decision-Making from State-only Sequences | Jun 27, 2023 | Decision MakingImitation Learning | CodeCode Available | 0 | 5 |
| Language as an Abstraction for Hierarchical Deep Reinforcement Learning | Jun 18, 2019 | Deep Reinforcement LearningInstruction Following | CodeCode Available | 0 | 5 |
