tsumers / rewardsLinks
Code and data for Learning Rewards from Linguistic Feedback, AAAI '21
☆10Updated 4 years ago
Alternatives and similar repositories for rewards
Users that are interested in rewards are comparing it to the libraries listed below
Sorting:
- Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu☆105Updated 3 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Updated 4 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆85Updated last year
- Intrinsic Reward Matching (IRM) implementation (from Adeniji and Xie et al 2022)☆43Updated last year
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated last year
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆81Updated 2 years ago
- Change-Based Exploration Transfer☆35Updated 3 years ago
- Implements the Messenger environment and EMMA model.☆23Updated 2 years ago
- A reinforcement learning environment for the IGLU 2022 at NeurIPS☆33Updated 2 years ago
- PushWorld: A benchmark for manipulation planning with tools and movable obstacles☆83Updated last year
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆54Updated 3 years ago
- Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)☆37Updated 4 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆82Updated 3 years ago
- Fast reinforcement learning research☆61Updated 7 months ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆77Updated last year
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Codebase for project about unsupervised skill learning via variational inference and causality.☆42Updated last year
- Latent World Models For Intrinsically Motivated Exploration | Official repository☆22Updated 4 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 3 years ago
- Sandbox environment for generalizable agent research☆25Updated 2 years ago
- ☆42Updated 3 years ago
- My Body Is A Cage☆41Updated 4 years ago
- Simplistic Pytorch Implementation of the Dreamer-RL☆20Updated 2 months ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- ☆46Updated 2 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.☆25Updated 4 years ago
- MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957☆63Updated 4 years ago