DHDev0 / Stochastic-muzero
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
☆60Updated last year
Alternatives and similar repositories for Stochastic-muzero:
Users that are interested in Stochastic-muzero are comparing it to the libraries listed below
- 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
- A project that provides help for using DeepMind's mctx on gym-style environments.☆53Updated 3 months ago
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆45Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆109Updated 5 months ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆39Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆93Updated 3 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆137Updated 2 months ago
- ☆73Updated 3 months ago
- MiniZero: An AlphaZero and MuZero Training Framework☆78Updated 2 months ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆156Updated 3 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆93Updated last year
- fast + parallel AlphaZero in JAX☆92Updated last month
- An API conversion tool for popular external reinforcement learning environments☆151Updated last month
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆56Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆32Updated this week
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆20Updated 2 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆48Updated 2 years ago
- Implementation of MuZero with PyTorch, based on the pseudocode from DeepMind (https://arxiv.org/src/1911.08265v2/anc/pseudocode.py).☆30Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆69Updated 2 weeks ago
- An implementation of MuZero in JAX.☆54Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆109Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- Adding Dreamer-v3's implementation tricks to CleanRL's PPO☆12Updated last year
- ☆70Updated 5 months ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- Clean single-file implementation of offline RL algorithms in JAX☆132Updated last month
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆74Updated 2 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆160Updated 2 weeks ago
- ☆214Updated 3 months ago