ArnaudFickinger / adversarial-surpriseLinks
Explore and Control with Adversarial Surprise
☆10Updated 4 years ago
Alternatives and similar repositories for adversarial-surprise
Users that are interested in adversarial-surprise are comparing it to the libraries listed below
Sorting:
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆32Updated last year
- More efficient exploration for reinforcement learning in two-player, zero-sum game☆21Updated last year
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆14Updated last year
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆15Updated 4 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆26Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 4 months ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆75Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆27Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 4 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Updated 3 years ago
- Exploring techniques to generate diverse conventions in multi-agent settings☆15Updated 2 years ago
- 3rd placed submission to the NeurIPS MineRL competition 2019☆10Updated 2 years ago
- Source code to reproduce experiments from Mendez et al., ICLR '22☆22Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 5 years ago
- ☆17Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023☆30Updated 2 years ago
- ☆10Updated 3 years ago
- Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体☆14Updated 2 years ago
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆13Updated 2 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆28Updated 2 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 4 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- ☆25Updated last year
- ☆18Updated 3 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Updated 4 years ago