hr0nix / omegaLinks
A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.
☆41Updated 2 years ago
Alternatives and similar repositories for omega
Users that are interested in omega are comparing it to the libraries listed below
Sorting:
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- General Modules for JAX☆65Updated 2 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆53Updated last month
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆113Updated 10 months ago
- Baselines for gymnax 🤖☆67Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆51Updated 2 years ago
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆27Updated 2 years ago
- Standard interface for entity based reinforcement learning environments.☆38Updated last year
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago
- JAX implementations of various deep reinforcement learning algorithms.☆22Updated 4 months ago
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆66Updated last year
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆57Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆11Updated 2 years ago
- Adding Dreamer-v3's implementation tricks to CleanRL's PPO☆12Updated 2 years ago
- ☆80Updated 7 months ago
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- ☆82Updated 3 months ago
- Various reinforcement learning algorithms written in Jax + Flax☆26Updated 2 years ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆60Updated 7 months ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆24Updated 2 months ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- A2C is a special case of PPO!☆22Updated 3 years ago
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- ☆47Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- A C++ pytorch implementation of MuZero☆38Updated last year