acl21 / wcsacLinks
A PyTorch implementation of "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
☆44Updated 2 years ago
Alternatives and similar repositories for wcsac
Users that are interested in wcsac are comparing it to the libraries listed below
Sorting:
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆185Updated last year
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆59Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 6 months ago
- ☆216Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆90Updated 9 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆142Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- ☆102Updated 3 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆70Updated 11 months ago
- This is the official implementation of Multi-Agent PPO.☆116Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80Updated 2 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆121Updated last month
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆54Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆220Updated 6 years ago
- Implementation of PPO Lagrangian in PyTorch☆50Updated 3 years ago
- Code repository for "N-agent Ad Hoc Teamwork" paper (Wang et al., Neurips 2024).☆21Updated 7 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆210Updated 11 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- ☆40Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆49Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆290Updated 4 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆54Updated 3 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- PyTorch implementation of MATD3☆13Updated 5 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆161Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Single-file pytorch implementation of hybrid-SAC☆59Updated 4 years ago