MIRALab-USTC / RLPapers
Must-read papers on Reinforcement Learning (RL)
☆39Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for RLPapers
- The code of paper Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. Zhihai Wang, Jie Wang*, Qi Zhou, Bin…☆19Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆73Updated 11 months ago
- Implement PPO algorithm on mujoco environment,such as Ant-v2, Humanoid-v2, Hopper-v2, Halfcheeth-v2.☆50Updated 4 years ago
- CS285 Homework☆26Updated 3 years ago
- Paper Collection for Batch RL with brief introductions.☆85Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆159Updated 5 months ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆30Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆124Updated 6 months ago
- RLA is a tool for managing your RL experiments automatically☆70Updated last year
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆54Updated last year
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆100Updated 4 years ago
- Re-implementations of SOTA RL algorithms.☆128Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆96Updated 3 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆157Updated 2 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆66Updated 2 years ago
- ☆118Updated 4 months ago
- Pytorch solutions for UC Berkeley's cs285 assignments☆121Updated 2 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆114Updated 3 years ago
- ☆86Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆117Updated 3 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆80Updated last year
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆161Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆19Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆48Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆113Updated last year
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆89Updated last year
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆151Updated last year
- Prioritized Experience Replay implementation with proportional prioritization☆69Updated last year
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆71Updated 2 years ago
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year