modelbased / minirllabLinks
Mini RL Lab
☆17Updated last year
Alternatives and similar repositories for minirllab
Users that are interested in minirllab are comparing it to the libraries listed below
Sorting:
- Various reinforcement learning algorithms written in Jax + Flax☆26Updated 2 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆231Updated last month
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆52Updated 7 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆130Updated 6 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- ☆114Updated 10 months ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆184Updated 3 weeks ago
- JAX implementation of RL algorithms and vectorized environments☆51Updated 2 years ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆62Updated last week
- Challenging Memory-based Deep Reinforcement Learning Agents☆108Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆93Updated 2 years ago
- ☆91Updated 4 months ago
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆46Updated 3 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆82Updated 2 months ago
- Simplest and Cleanest DreamerV3 implementation out there☆124Updated 9 months ago
- Baselines for gymnax 🤖☆74Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- ☆52Updated 2 years ago
- This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".☆61Updated 9 months ago
- Scripts to recreate the D4RL datasets with Minari☆25Updated 5 months ago
- ☆89Updated last year
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆78Updated 3 years ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆30Updated 3 weeks ago
- Standard interface for entity based reinforcement learning environments.☆38Updated last year
- Code for the paper "Harnessing Discrete Representations for Continual Reinforcement Learning"☆15Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆104Updated 3 months ago
- The Starcraft Multi-Agent challenge lite☆43Updated last year
- Learning diverse options through the Laplacian representation.☆23Updated 2 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆56Updated 2 years ago