ReinholdM / Papers-of-Offline-RLLinks
Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
☆18Updated 3 years ago
Alternatives and similar repositories for Papers-of-Offline-RL
Users that are interested in Papers-of-Offline-RL are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆37Updated 6 months ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- An unofficial implementation for online decision transformer☆40Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆24Updated 3 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆64Updated last year
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 3 years ago
- Benchmarked implementations of Offline RL Algorithms.☆75Updated 5 months ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆19Updated last year
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆21Updated 3 years ago
- Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".☆53Updated last year
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆27Updated 2 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 4 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- ☆28Updated 4 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆50Updated last year
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 8 months ago
- ☆17Updated 3 years ago
- ☆54Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 3 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆43Updated 9 months ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆59Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated last month