IandRover / meta_gradient_RLLinks
Implementation of NeurIPS 2018 paper "Meta-Gradient Reinforcement Learning"
☆20Updated 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:
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆94Updated 3 weeks ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated 2 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆32Updated 3 years ago
- ☆132Updated 11 months ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆81Updated last year
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆63Updated 2 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆53Updated 4 years ago
- ☆31Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆130Updated last year
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆163Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 3 years ago
- Baselines for Neural MMO -- new users should treat this repo as a starter project☆47Updated 11 months ago
- This is the official implementation of ERL-Re2.☆64Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆163Updated last year
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆183Updated 10 months ago
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆52Updated 11 months ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆56Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 4 years ago
- Applying minimaxQ learning algorithm to 2 agents games☆33Updated 7 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- ☆111Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆87Updated 4 years ago