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:
- PyTorch implementation of discrete version of Soft Actor-Critic.☆34Updated 3 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 3 months ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆52Updated 3 years ago
- ☆40Updated 3 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆65Updated 8 months ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- ☆41Updated 5 years ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where…☆27Updated 5 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆36Updated 4 years ago
- Single-file pytorch implementation of hybrid-SAC☆58Updated 3 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 2 years ago
- an implementation of ATOC☆14Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆70Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- A collection of Meta-Reinforcement Learning algorithms in PyTorch☆44Updated 10 months ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆24Updated last year
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆45Updated 2 years ago
- Distributional Soft Actor Critic☆53Updated 5 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Implementation of DyMA-CL, MARL algorithm☆27Updated 5 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆62Updated 11 months ago
- The implementation of LSTM-TD3.☆81Updated 2 years ago
- Code repository for "N-agent Ad Hoc Teamwork" paper (Wang et al., Neurips 2024).☆20Updated 4 months ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 2 months ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 3 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago