JimOhman / model-based-rlLinks
Implementation of MuZero with PyTorch, based on the pseudocode from DeepMind (https://arxiv.org/src/1911.08265v2/anc/pseudocode.py).
☆32Updated 2 years ago
Alternatives and similar repositories for model-based-rl
Users that are interested in model-based-rl are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆65Updated last year
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆75Updated 2 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 10 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
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Deep Learning Project☆22Updated 5 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago
- ☆196Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 4 months ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆112Updated 2 years ago
- Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.☆30Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Conservative Q Learning on top of SAC☆130Updated 2 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆97Updated 4 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆78Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆142Updated last year
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆45Updated 2 years ago
- Re-implementations of SOTA RL algorithms.☆133Updated last year
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆51Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆112Updated 9 months ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆51Updated 9 months ago
- [ICML 2024, Spotlight] EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data☆83Updated 9 months ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- PyTorch implementation of DreamerV2 model-based RL algorithm☆217Updated 2 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 years ago
- Keeping track of RL experiments☆161Updated 2 years ago