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.
☆64Updated 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.☆58Updated 5 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆97Updated 5 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆111Updated 8 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
- ☆75Updated 5 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆89Updated 2 weeks ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆22Updated 5 months ago
- MiniZero: An AlphaZero and MuZero Training Framework☆88Updated 2 months ago
- ☆76Updated last month
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆47Updated 2 years ago
- Implementation of MuZero with PyTorch, based on the pseudocode from DeepMind (https://arxiv.org/src/1911.08265v2/anc/pseudocode.py).☆31Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆73Updated last month
- Deep Reinforcement Learning Framework done with PyTorch☆35Updated last month
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆175Updated 10 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated 8 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆156Updated last month
- Classic MCTS example with mctx☆18Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆86Updated 2 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆74Updated 2 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆109Updated last year
- fast + parallel AlphaZero in JAX☆95Updated 4 months ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 3 years ago
- Benchmarking RL generalization in an interpretable way.☆153Updated last month
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆48Updated this week
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆96Updated last year
- Implementation of Trajectory Transformer with attention caching and batched beam search☆111Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆46Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆100Updated last year