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.
☆69Updated 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 clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆160Updated 4 years ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆60Updated 9 months ago
- MiniZero: An AlphaZero and MuZero Training Framework☆97Updated last month
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆31Updated 2 months ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆115Updated last year
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆48Updated 2 years ago
- ☆81Updated 9 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…☆41Updated 2 years ago
- [ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data☆93Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated last year
- Simple single-file baselines for Q-Learning in pure-GPU setting☆181Updated 5 months ago
- fast + parallel AlphaZero in JAX☆96Updated 8 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆56Updated last week
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆187Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated last year
- Implementation of MuZero with PyTorch, based on the pseudocode from DeepMind (https://arxiv.org/src/1911.08265v2/anc/pseudocode.py).☆33Updated 3 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 10 months ago
- Classic MCTS example with mctx☆21Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆37Updated 5 months ago
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆56Updated 3 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆115Updated 2 years ago
- unofficial code reproducing Agent57☆38Updated last year
- ☆82Updated 5 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆109Updated 2 months ago
- Datasets with baselines for Offline MARL.☆177Updated this week
- Partially Observable Process Gym☆197Updated 2 months ago
- Baselines for gymnax 🤖☆71Updated 2 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆76Updated 2 years ago
- A C++ pytorch implementation of MuZero☆39Updated last year