XinJingHao / PPO-Continuous-Pytorch
A clean and robust Pytorch implementation of PPO on continuous action space.
☆128Updated 7 months ago
Alternatives and similar repositories for PPO-Continuous-Pytorch:
Users that are interested in PPO-Continuous-Pytorch are comparing it to the libraries listed below
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆198Updated 5 years ago
- ☆192Updated last year
- A clean and robust Pytorch implementation of PPO on Discrete action space☆60Updated 7 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆156Updated 9 months ago
- DSAC; Distributional Soft Actor-Critic☆115Updated 10 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆114Updated 8 months ago
- ☆93Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆112Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- Solve BipedalWalkerHardcore-v2 with TD3☆83Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆66Updated 7 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆47Updated 4 years ago
- The code for maddpg using pytorch☆164Updated 4 years ago
- This is the official implementation of Multi-Agent PPO.☆101Updated 2 years ago
- Code for Weighted QMIX☆126Updated 4 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆97Updated 3 years ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆276Updated 2 months ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆139Updated last year
- implementation of MADDPG using PettingZoo and PyTorch☆122Updated last year
- Implement reinforcement learning algorithms in Pytorch☆33Updated 3 years ago
- PyTorch implementation of Constrained Policy Optimization☆50Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆49Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆283Updated 3 years ago
- Constrained Policy Optimization implementation on Safety Gym☆23Updated 3 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆140Updated last year
- A clean and robust Pytorch implementation of SAC on discrete action space☆34Updated 2 months ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆170Updated 3 months ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆52Updated 3 years ago