hamishs / JAX-RL
JAX implementations of various deep reinforcement learning algorithms.
☆22Updated 3 months ago
Alternatives and similar repositories for JAX-RL:
Users that are interested in JAX-RL are comparing it to the libraries listed below
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆50Updated last week
- ☆47Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆54Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated last year
- JAX implementation of RL algorithms and vectorized environments☆43Updated last year
- Baselines for gymnax 🤖☆66Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- JAX implementations of core Deep RL algorithms☆79Updated 3 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆70Updated 11 months ago
- Skeleton for scalable and flexible Jax RL implementations☆80Updated last year
- ☆42Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- ☆45Updated last year
- Various reinforcement learning algorithms written in Jax + Flax☆24Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆45Updated last week
- ☆77Updated last month
- Unified Implementations of Offline Reinforcement Learning Algorithms☆67Updated 2 weeks ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated 10 months ago
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- General Modules for JAX☆64Updated last month
- Asymmetric methods for partially observable reinforcement learning☆10Updated 3 weeks ago
- ☆31Updated 4 years ago
- ☆30Updated last year
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Flax Implementation of DreamerV3 on Crafter☆14Updated 2 months ago