yining043 / SAC-discrete
Modified versions of the Soft Actor-Critic algorithm for Atari games from https://github.com/ac-93/soft-actor-critic.
☆18Updated 4 years ago
Alternatives and similar repositories for SAC-discrete:
Users that are interested in SAC-discrete are comparing it to the libraries listed below
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆44Updated 2 years ago
- ☆71Updated 7 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- There will be updates later☆83Updated 5 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆56Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- ☆91Updated 4 years ago
- ☆19Updated last year
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆83Updated 7 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆51Updated 2 years ago
- ☆39Updated 3 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆32Updated 5 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆97Updated 3 years ago
- ☆47Updated 3 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆31Updated 3 years ago
- ☆83Updated 6 years ago
- ☆42Updated 3 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆30Updated 4 years ago
- ☆60Updated 6 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆42Updated 4 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆121Updated 5 months ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆70Updated last month
- ☆119Updated 6 months ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆160Updated 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 …☆115Updated 2 months ago