hari-sikchi / pytorch_CPOLinks
Simple implementation for Constrained Policy Optimization in Pytorch
☆16Updated 3 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 Reinforcement Learning for Soft Actor Critic Algorithm☆53Updated 3 years ago
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆89Updated 9 months ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆38Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆182Updated last year
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 4 years ago
- Implementation of PPO Lagrangian in PyTorch☆50Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- ☆62Updated last year
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated 10 months ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆86Updated 4 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆119Updated last month
- ☆43Updated 3 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆91Updated 4 years ago
- Transformer-based Multi-Agent Actor-Critic Framework☆46Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆115Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆79Updated 4 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆42Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆219Updated 6 years ago
- ☆40Updated 3 years ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆27Updated 2 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆38Updated last year
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- A clean and robust implementation of Prioritized DQN and Prioritized Double DQN☆21Updated last year
- A clean and robust Pytorch implementation of PPO on continuous action space.☆161Updated last year
- D3QN Pytorch☆62Updated 3 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆34Updated last year