henrycharlesworth / multi_action_head_PPOLinks
PPO with multi-head/autoregressive action outputs
☆41Updated 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:
- Collection of OpenAI parametrized action-space environments.☆65Updated 3 months ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆156Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆163Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- Code for Weighted QMIX☆139Updated 4 years ago
- Single-file pytorch implementation of hybrid-SAC☆58Updated 4 years ago
- Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)☆23Updated 7 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆68Updated 10 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆218Updated 6 years ago
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆47Updated last year
- Baseline implementation of recurrent PPO using truncated BPTT☆149Updated last year
- This is the official implementation of Multi-Agent PPO.☆109Updated 2 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆65Updated 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 8 months ago
- ☆210Updated 2 years ago
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆45Updated 3 years ago
- There will be updates later☆84Updated 6 years ago
- Implementation of DyMA-CL, MARL algorithm☆27Updated 5 years ago
- ☆86Updated 3 years ago
- ☆101Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- Revisiting Discrete Gradient Estimation in MADDPG☆24Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago