SimRey / HPPOLinks
☆10Updated 9 months ago
Alternatives and similar repositories for HPPO
Users that are interested in HPPO are comparing it to the libraries listed below
Sorting:
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 6 months ago
- 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
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆185Updated last year
- A clean and robust Pytorch implementation of PPO on continuous action space.☆161Updated last year
- Jax and Torch Multi-Agent SAC on PettingZoo API☆90Updated 9 months ago
- ☆102Updated 3 years ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆391Updated last month
- a clean and robust Pytorch implementation of SAC on continuous action space☆83Updated 4 months ago
- ☆105Updated last month
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- implementation of MADDPG using PettingZoo and PyTorch☆154Updated last year
- This is the official implementation of Multi-Agent PPO.☆115Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆142Updated last year
- The implementation of LSTM-TD3.☆85Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆130Updated 6 months ago
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- Implementation of PPO Lagrangian in PyTorch☆50Updated 3 years ago
- ☆23Updated 2 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆493Updated 2 years ago
- ☆216Updated 2 years ago
- The repository is for safe reinforcement learning baselines.☆690Updated last month
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆219Updated 6 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- Solve BipedalWalkerHardcore-v2 with TD3☆91Updated 2 years ago
- 这是一个关于基于模型的强化学习的资料,包括一些代码地址、paper、slide等。☆45Updated 5 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated 10 months ago
- Code accompanying paper "Coordinated Proximal Policy Optimization"☆11Updated 3 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆104Updated 3 years ago