jbkjr / train-procgen-pytorchLinks
Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.
☆14Updated last year
Alternatives and similar repositories for train-procgen-pytorch
Users that are interested in train-procgen-pytorch are comparing it to the libraries listed below
Sorting:
- ☆19Updated 2 years ago
- ☆52Updated 2 years ago
- Interpreting how transformers simulate agents performing RL tasks☆88Updated 2 years ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆33Updated 3 years ago
- Language-annotated Abstraction and Reasoning Corpus☆93Updated 2 years ago
- Scaling scaling laws with board games.☆53Updated 2 years ago
- An environment for benchmarking commonsense agents☆29Updated 5 years ago
- ☆23Updated last year
- An implementation of MuZero in JAX.☆57Updated 2 years ago
- ☆39Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated last year
- 🎢 Creating and sharing simulation environments for embodied and synthetic data research☆190Updated 2 years ago
- Reinforcement learning library in JAX.☆100Updated 2 years ago
- Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions☆69Updated last year
- A collection of meta-learning algorithms in Jax☆23Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Fully differentiable RL environments, written in Ivy.☆65Updated 2 years ago
- General Modules for JAX☆69Updated last month
- ☆56Updated 11 months ago
- Web version of “Neuroevolution of Self-Interpretable Agents” (https://arxiv.org/abs/2003.08165)☆22Updated 3 years ago
- PAIRED in PyTorch 🔥☆63Updated 2 years ago
- ☆28Updated 3 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago
- Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu☆105Updated 3 years ago
- Redwood Research's transformer interpretability tools☆14Updated 3 years ago
- Baselines for gymnax 🤖☆72Updated 2 years ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆79Updated 3 years ago
- Code and links for over 25,000 trained Atari agents☆98Updated last year
- A Python interface for Minecraft built on gRPC☆126Updated 3 years ago
- Efficient baselines for autocurricula in JAX.☆197Updated last year