microsoft / strategically_efficient_rl
More efficient exploration for reinforcement learning in two-player, zero-sum game
☆17Updated last month
Related projects: ⓘ
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆17Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆43Updated 6 months ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆15Updated 2 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆14Updated 3 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 3 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆24Updated 3 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆35Updated 2 weeks ago
- ☆27Updated last year
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 2 years ago
- ☆30Updated last month
- Explore and Control with Adversarial Surprise☆9Updated 3 years ago
- An implementation of effective policy ensemble.☆10Updated last year
- ☆28Updated 6 months ago
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated last year
- The collection of the research works about Automatic Reinforcement Learning in Microsoft Research Asia.☆47Updated last year
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆21Updated 5 months ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆17Updated last year
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆16Updated 2 years ago
- ☆12Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆24Updated 2 years ago
- ☆20Updated 5 months ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 2 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆32Updated 3 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆11Updated 4 months ago
- Official repository of Action-Free Guide☆11Updated last year
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 3 years ago
- ☆12Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆42Updated 2 years ago
- Unofficial code for online decision transformer☆37Updated 2 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆51Updated 3 years ago