hr0nix / omega
A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.
☆39Updated 2 years ago
Alternatives and similar repositories for omega:
Users that are interested in omega are comparing it to the libraries listed below
- An implementation of MuZero in JAX.☆55Updated 2 years ago
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆47Updated 3 weeks ago
- General Modules for JAX☆64Updated this week
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- Baselines for gymnax 🤖☆65Updated last year
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆48Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆20Updated 3 months ago
- ☆73Updated 3 months ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆56Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 2 years ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆55Updated 3 months ago
- Various reinforcement learning algorithms written in Jax + Flax☆24Updated last year
- Deep Reinforcement Learning Framework done with PyTorch☆33Updated this week
- JAX implementations of various deep reinforcement learning algorithms.☆21Updated last month
- Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function☆13Updated 2 years ago
- ☆43Updated 5 months ago
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆60Updated last year
- 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
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆109Updated 6 months ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆108Updated 3 years ago
- Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …☆44Updated 3 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆140Updated last year
- ☆72Updated 6 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆9Updated last year