machelreid / can-wikipedia-help-offline-rl
Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu
☆100Updated 2 years ago
Related projects: ⓘ
- ☆34Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆100Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Reinforcement Learning with Latent Flow☆42Updated 3 years ago
- Reinforcement Learning via Supervised Learning☆67Updated 2 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆17Updated 3 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 4 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆54Updated 2 months ago
- Object Centric Atari games☆43Updated this week
- ☆52Updated 8 months ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆77Updated 2 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆89Updated last year
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆83Updated 7 months ago
- ☆53Updated 2 years ago
- Invariant Causal Prediction for Block MDPs☆43Updated 4 years ago
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 3 months ago
- Deep Hierarchical Planning from Pixels☆85Updated last year
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆64Updated 2 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆51Updated 3 years ago
- The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning…☆55Updated last year
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆49Updated 2 years ago
- A reinforcement learning environment for the IGLU 2022 at NeurIPS☆32Updated last year
- Implements the Messenger environment and EMMA model.☆22Updated last year
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆76Updated 2 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆81Updated 2 years ago
- ☆27Updated last year
- ☆85Updated last month
- Evaluating long-term memory of reinforcement learning algorithms☆129Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆96Updated 2 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆101Updated last year