hari-sikchi / pytorch_CPOLinks
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
Sorting:
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆51Updated 3 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆157Updated last year
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆39Updated last year
- ☆41Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆86Updated 7 months ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆49Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆115Updated last week
- A clean and robust Pytorch implementation of SAC on discrete action space☆43Updated 8 months ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- ☆58Updated last year
- 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
- D3QN Pytorch☆63Updated 3 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆38Updated last year
- Implementation of PPO Lagrangian in PyTorch☆49Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆140Updated last year
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆40Updated 2 years ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆27Updated 2 years ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆83Updated 3 months ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆218Updated 6 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆156Updated last year
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆202Updated 3 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆60Updated 5 years ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆93Updated this week
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆78Updated 4 years ago