hari-sikchi / pytorch_CPO
Simple implementation for Constrained Policy Optimization in Pytorch
☆16Updated 2 years ago
Alternatives and similar repositories for pytorch_CPO:
Users that are interested in pytorch_CPO are comparing it to the libraries listed below
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆44Updated 2 years ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆34Updated last year
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆47Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆80Updated 5 months ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 4 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 5 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆35Updated 6 months ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆56Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆51Updated 3 years ago
- Transformer-based Multi-Agent Actor-Critic Framework☆44Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆169Updated last year
- Constrained Policy Optimization implementation on Safety Gym☆27Updated 3 years ago
- ☆53Updated last year
- ☆22Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆65Updated 3 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆55Updated last year
- ☆42Updated 3 years ago
- ☆96Updated 3 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆37Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆84Updated 4 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆109Updated 4 months ago
- Paper list for constrained policy optimization in reinforcement learning.☆72Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆149Updated last year
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆128Updated last year
- This is the official implementation of Multi-Agent PPO.☆105Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆75Updated 2 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆73Updated 3 weeks ago
- ☆201Updated last year