ShaniGam / RL-GAN
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
☆49Updated 4 years ago
Alternatives and similar repositories for RL-GAN:
Users that are interested in RL-GAN are comparing it to the libraries listed below
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 4 years ago
- Random Network Distillation(RND) algo in Pytorch☆48Updated 5 years ago
- FEN Code☆37Updated 5 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆84Updated 7 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆30Updated 3 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆63Updated 7 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆45Updated 4 years ago
- ☆84Updated 6 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆128Updated last year
- ☆26Updated 6 years ago
- A new paper list for multi-agent reinforcement learning (actively maintained)☆25Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- ☆97Updated 4 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated last year
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆34Updated 3 years ago
- Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning☆55Updated 6 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 5 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic …☆17Updated 6 years ago
- PyTorch implementation of Deep Reinforcement Algorithm☆30Updated 2 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- ☆120Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018☆62Updated 6 years ago
- ☆60Updated 6 years ago