IandRover / meta_gradient_RL
Implementation of NeurIPS 2018 paper "Meta-Gradient Reinforcement Learning"
☆16Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for meta_gradient_RL
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆102Updated 2 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆30Updated 3 years ago
- ☆32Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- ☆25Updated 6 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆25Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆98Updated 4 years ago
- A curated list of awesome Meta Reinforcement Learning☆27Updated 4 years ago
- PyTorch IMPALA implementation☆24Updated 5 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆99Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆68Updated 7 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆36Updated 2 years ago
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 7 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆50Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆119Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- ☆45Updated 2 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆68Updated 4 years ago
- ☆71Updated 5 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆36Updated 3 weeks ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆59Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆89Updated 2 months ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆55Updated 10 months ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated last year
- ☆8Updated 3 years ago