IandRover / meta_gradient_RL
Implementation of NeurIPS 2018 paper "Meta-Gradient Reinforcement Learning"
☆18Updated 2 years ago
Alternatives and similar repositories for meta_gradient_RL:
Users that are interested in meta_gradient_RL are comparing it to the libraries listed below
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆30Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- ☆32Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆90Updated 4 months ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆27Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆30Updated last year
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆25Updated 5 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆80Updated 2 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆26Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆21Updated 2 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆59Updated last year
- ☆119Updated 5 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆60Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- ☆26Updated 6 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
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆114Updated 9 months ago
- ☆56Updated 4 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆44Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆44Updated 3 years ago
- ☆46Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆48Updated 4 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆38Updated 2 months ago
- ☆71Updated 7 months ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆34Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 5 years ago