machelreid / can-wikipedia-help-offline-rlLinks
Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu
☆105Updated 3 years ago
Alternatives and similar repositories for can-wikipedia-help-offline-rl
Users that are interested in can-wikipedia-help-offline-rl are comparing it to the libraries listed below
Sorting:
- Proto-RL: Reinforcement Learning with Prototypical Representations☆85Updated 3 years ago
- ☆48Updated 2 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- ☆54Updated 3 years ago
- Sandbox environment for generalizable agent research☆25Updated 3 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 4 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Updated 4 years ago
- ☆56Updated 11 months ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆81Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Reinforcement Learning via Supervised Learning☆71Updated 3 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆75Updated last year
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Updated last year
- Reinforcement Learning with Latent Flow☆44Updated 4 years ago
- ☆57Updated 3 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Updated 4 years ago
- Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)☆68Updated 4 years ago
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆86Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 3 years ago
- ☆32Updated last year
- PyTorch Package For Quasimetric Learning☆43Updated 11 months ago
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆80Updated 3 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆68Updated 3 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆45Updated 2 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 5 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Generalised UDRL☆37Updated 3 years ago
- Implements the Messenger environment and EMMA model.☆25Updated 2 years ago