yudasong / brieeLinks
Representation Learning in RL
☆13Updated 3 years ago
Alternatives and similar repositories for briee
Users that are interested in briee are comparing it to the libraries listed below
Sorting:
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 4 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆18Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- ☆16Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 4 years ago
- Mirror Descent Policy Optimization☆40Updated 5 years ago
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆28Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Updated last year
- Generalised UDRL☆37Updated 3 years ago
- ☆17Updated 4 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆34Updated 5 years ago
- Clean, extensible implementation of MACAW [ICML 2021]☆12Updated 3 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated last year
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.☆25Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 4 years ago
- ☆15Updated 5 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆51Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 months ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 4 years ago
- ☆17Updated last year
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆18Updated 4 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…☆11Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- Sandbox environment for generalizable agent research☆25Updated 3 years ago