yihaosun1124 / OfflineRL-Kit
An elegant PyTorch offline reinforcement learning library for researchers.
☆303Updated 10 months ago
Alternatives and similar repositories for OfflineRL-Kit:
Users that are interested in OfflineRL-Kit are comparing it to the libraries listed below
- A collection of offline reinforcement learning algorithms.☆168Updated 2 months ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆341Updated 3 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆131Updated 9 months ago
- PyTorch implementation of SAC-Discrete.☆296Updated 6 months ago
- Code for conservative Q-learning☆424Updated 3 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆190Updated 5 months ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆342Updated last year
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆344Updated 11 months ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆164Updated last year
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆427Updated 9 months ago
- A plotter for reinforcement learning (RL)☆218Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆161Updated 2 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆207Updated 4 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆562Updated 4 months ago
- ☆248Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆310Updated 5 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆159Updated 10 months ago
- A collection of MARL benchmarks based on TorchRL☆343Updated last week
- Level-based Foraging (LBF): A multi-agent environment for RL☆171Updated 5 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆172Updated 4 months ago
- ☆374Updated last year
- ☆193Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆526Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆449Updated last year
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆122Updated 6 months ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆149Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆290Updated last year
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆202Updated 5 years ago
- This is the official implementation of Multi-Agent PPO.☆102Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆158Updated 3 months ago