philtabor / Advanced-Replay-StrategiesLinks
☆13Updated 2 years ago
Alternatives and similar repositories for Advanced-Replay-Strategies
Users that are interested in Advanced-Replay-Strategies are comparing it to the libraries listed below
Sorting:
- ☆40Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆195Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆93Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆53Updated 7 months ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆72Updated last year
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆54Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆142Updated last year
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆38Updated 4 years ago
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- Single-file pytorch implementation of hybrid-SAC☆60Updated 4 years 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
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆169Updated last year
- PyTorch implementation of MATD3☆13Updated 5 years ago
- There will be updates later☆85Updated 6 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆164Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆161Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆60Updated 5 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆105Updated 3 years ago
- ☆103Updated 3 years ago
- an implementation of ATOC☆14Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 6 months ago
- This is the official implementation of Multi-Agent PPO.☆119Updated 2 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…☆17Updated last year