eric-mitchell / macawLinks
Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
☆47Updated 2 years ago
Alternatives and similar repositories for macaw
Users that are interested in macaw are comparing it to the libraries listed below
Sorting:
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- ☆54Updated last year
- ☆56Updated 2 years ago
- TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"☆19Updated 3 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆148Updated 3 years ago
- ☆48Updated last year
- Clean, extensible implementation of MACAW [ICML 2021]☆12Updated 3 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆44Updated last year
- ☆26Updated 2 years ago
- ☆31Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆31Updated 3 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆43Updated 3 years ago
- Official code repository for Prompt-DT.☆113Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆27Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 2 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆30Updated 4 years ago
- ☆15Updated 2 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆26Updated 3 years ago
- ☆49Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆27Updated 3 years ago
- ☆33Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆35Updated 2 years ago