IandRover / meta_gradient_RLLinks
Implementation of NeurIPS 2018 paper "Meta-Gradient Reinforcement Learning"
☆19Updated 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
Sorting:
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- Deep Implicit Coordination Graphs☆41Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆31Updated 2 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated last week
- ☆76Updated last year
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆47Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 4 months ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆32Updated 3 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆79Updated 2 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆69Updated 8 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- A reusable framework for successor features for transfer in deep reinforcement learning using keras.☆44Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆35Updated 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