sisl / event-driven-rllabLinks
Extending rllab to event-driven multiagent environments
☆13Updated 7 years ago
Alternatives and similar repositories for event-driven-rllab
Users that are interested in event-driven-rllab are comparing it to the libraries listed below
Sorting:
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- ☆78Updated last year
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆85Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- ☆49Updated 4 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 8 months ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 7 years ago
- Soft Actor-Critic with advanced features☆51Updated last month
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 7 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)☆26Updated last year
- Deep Implicit Coordination Graphs☆43Updated last year
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 5 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆50Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆26Updated 2 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆120Updated 2 years ago
- Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020☆26Updated 3 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆54Updated last month
- Value-Decomposition Multi-Agent Actor-Critics☆41Updated 3 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago