henrycharlesworth / multi_action_head_PPOLinks
PPO with multi-head/autoregressive action outputs
☆44Updated 4 years ago
Alternatives and similar repositories for multi_action_head_PPO
Users that are interested in multi_action_head_PPO are comparing it to the libraries listed below
Sorting:
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆163Updated 2 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 6 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆221Updated 6 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆190Updated last year
- ☆89Updated 3 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆39Updated 2 years ago
- Code for Weighted QMIX☆140Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)☆25Updated 10 months ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆165Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆73Updated 3 years ago
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆49Updated last year
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- ☆102Updated 3 years ago
- There will be updates later☆84Updated 6 years ago
- ☆216Updated 2 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆68Updated 2 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- Revisiting Discrete Gradient Estimation in MADDPG☆26Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 10 months ago
- This is the official implementation of Multi-Agent PPO.☆117Updated 2 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆291Updated 4 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago