rpatrik96 / AttA2C
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
☆27Updated 5 years ago
Alternatives and similar repositories for AttA2C:
Users that are interested in AttA2C are comparing it to the libraries listed below
- PyTorch IMPALA implementation☆26Updated 5 years ago
- ☆76Updated 11 months ago
- ☆32Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 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
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆35Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 6 months ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆102Updated 2 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Deep Implicit Coordination Graphs☆41Updated 11 months ago
- MADDPG in Ray/RLlib☆53Updated 5 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- ☆52Updated 6 years ago
- ☆44Updated 2 years ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆52Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 4 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago
- ☆28Updated 3 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆33Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- Distributional Soft Actor Critic☆53Updated 4 years ago
- ☆49Updated 3 years ago
- Implementation of DyMA-CL, MARL algorithm☆27Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 5 years ago