hari-sikchi / pytorch_CPO
Simple implementation for Constrained Policy Optimization in Pytorch
☆15Updated 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 Reinforcement Learning for Soft Actor Critic Algorithm☆46Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆53Updated 3 years ago
- ☆42Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆42Updated 2 years ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆32Updated last year
- Jax and Torch Multi-Agent SAC on PettingZoo API☆77Updated 4 months ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 5 years ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 4 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆35Updated 5 months ago
- Transformer-based Multi-Agent Actor-Critic Framework☆44Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆65Updated 3 years ago
- Constrained Policy Optimization implementation on Safety Gym☆25Updated 3 years ago
- ☆53Updated 11 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆166Updated last year
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆56Updated 3 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆35Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆72Updated this week
- The official code releasement of publications in MARL field of TJU RL lab.☆72Updated 2 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆75Updated last year
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆24Updated 2 years ago
- Code for Weighted QMIX☆134Updated 4 years ago
- This is the official implementation of Multi-Agent PPO.☆104Updated 2 years ago
- ☆40Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆43Updated 3 years ago
- ☆96Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆51Updated 3 years ago
- ☆20Updated last year
- Nash Q Learning☆31Updated 4 years ago