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.
☆65Updated 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 6 months ago
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆47Updated 2 years ago
- 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
- Classic MCTS example with mctx☆18Updated 2 years ago
- ☆80Updated 7 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆99Updated 7 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
- Baselines for gymnax 🤖☆66Updated 2 years ago
- Implementation of MuZero with PyTorch, based on the pseudocode from DeepMind (https://arxiv.org/src/1911.08265v2/anc/pseudocode.py).☆32Updated 2 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆112Updated 9 months ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆112Updated 2 years ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆53Updated 3 weeks ago
- MiniZero: An AlphaZero and MuZero Training Framework☆93Updated 3 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 2 months ago
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆56Updated 3 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆75Updated 2 years ago
- [ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data☆83Updated 9 months ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆113Updated last year
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆73Updated 3 months ago
- ☆79Updated 2 months ago
- fast + parallel AlphaZero in JAX☆96Updated 5 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆167Updated 2 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆78Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Deep Hierarchical Planning from Pixels☆102Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Clean single-file implementation of offline RL algorithms in JAX☆145Updated 5 months ago
- Benchmarking RL generalization in an interpretable way.☆156Updated 2 months ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆95Updated last year