DHDev0 / Stochastic-muzeroLinks
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.
☆67Updated last year
Alternatives and similar repositories for Stochastic-muzero
Users that are interested in Stochastic-muzero are comparing it to the libraries listed below
Sorting:
- A project that provides help for using DeepMind's mctx on gym-style environments.☆60Updated 8 months ago
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆47Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆101Updated 8 months ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆114Updated last year
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆28Updated 3 weeks ago
- MiniZero: An AlphaZero and MuZero Training Framework☆94Updated this week
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆159Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆56Updated 3 years ago
- ☆81Updated 8 months ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆183Updated last year
- Datasets with baselines for offline multi-agent reinforcement learning.☆174Updated 2 months ago
- Implementation of MuZero with PyTorch, based on the pseudocode from DeepMind (https://arxiv.org/src/1911.08265v2/anc/pseudocode.py).☆33Updated 2 years ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆41Updated 2 years ago
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆35Updated 4 years ago
- fast + parallel AlphaZero in JAX☆97Updated 6 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆105Updated 3 weeks ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆173Updated 4 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆53Updated 2 years ago
- Partially Observable Process Gym☆194Updated last month
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated 10 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆81Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆114Updated 2 years ago
- Re-implementations of SOTA RL algorithms.☆134Updated last year
- Multi-objective Gymnasium environments for reinforcement learning☆334Updated 2 weeks ago
- Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…☆277Updated 3 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- An API conversion tool for popular external reinforcement learning environments☆173Updated 6 months ago
- Benchmarking RL generalization in an interpretable way.☆157Updated last month
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆55Updated 2 months ago