eilab-gt / NovGridLinks
Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according to a generalized novelty generator.
☆35Updated last year
Alternatives and similar repositories for NovGrid
Users that are interested in NovGrid are comparing it to the libraries listed below
Sorting:
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- CREATE Environment for long-horizon physics-puzzle tasks with diverse tools☆18Updated 2 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆18Updated 7 months ago
- ☆42Updated 3 years ago
- Change-Based Exploration Transfer☆35Updated 3 years ago
- Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu☆105Updated 2 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆82Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)☆14Updated 3 years ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆81Updated 2 years ago
- Collection of reinforcement learning algorithms☆16Updated 3 years ago
- ☆20Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 4 years ago
- Baselines for gymnax 🤖☆67Updated 2 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- Sandbox environment for generalizable agent research☆25Updated 2 years ago
- General Modules for JAX☆65Updated 2 months ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago
- ☆46Updated 2 years ago
- ☆28Updated 2 years ago
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆85Updated last year
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆25Updated 2 years ago
- Reinforcement Learning with Latent Flow☆42Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Implementation (TensorFlow/keras) of the DreamerV3 model-based RL algorithm by Hafner et al. 2023☆3Updated last year
- Code for Model-Free Opponent Shaping (ICML 2022)☆18Updated 2 years ago