xionghuichen / RLAssistantLinks
RLA is a tool for managing your RL experiments automatically
☆71Updated 2 years ago
Alternatives and similar repositories for RLAssistant
Users that are interested in RLAssistant are comparing it to the libraries listed below
Sorting:
- ☆29Updated 3 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆124Updated 8 months ago
- Paper Collection for Batch RL with brief introductions.☆84Updated 3 years ago
- Re-implementations of SOTA RL algorithms.☆134Updated last year
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆25Updated last year
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆75Updated 5 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆175Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆182Updated 3 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated last week
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆129Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆191Updated 8 months ago
- ☆12Updated last year
- ☆132Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 3 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆70Updated 2 years ago
- ☆112Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- Code for NeurIPS 2021 paper "Offline Reinforcement Learning with Reverse Model-based Imagination"☆19Updated 3 years ago
- ☆15Updated 4 years ago
- ☆199Updated 2 years ago
- A python module designed for agile RL algorithm developing.☆26Updated last year
- Source code for the paper "Divergence-Augmented Policy Optimization"☆37Updated 5 years ago
- Personal Repo to keep track of RL papers☆31Updated 4 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆19Updated last year
- ☆5Updated 7 months ago
- ☆42Updated 3 years ago