qingshi9974 / PPO-pytorch-MujocoLinks
Implement PPO algorithm on mujoco environment,such as Ant-v2, Humanoid-v2, Hopper-v2, Halfcheeth-v2.
☆51Updated 4 years ago
Alternatives and similar repositories for PPO-pytorch-Mujoco
Users that are interested in PPO-pytorch-Mujoco are comparing it to the libraries listed below
Sorting:
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆110Updated 4 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆86Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 6 months ago
- CORRO code☆35Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆122Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆88Updated 4 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆131Updated 2 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆171Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- There will be updates later☆84Updated 6 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 5 months ago
- ☆94Updated 4 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 2 months ago
- A PyTorch implementation of Implicit Q-Learning☆80Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- A simple implementation of Generative Adversarial Imitation Learning with PyTorch☆160Updated 3 years ago
- ☆111Updated 2 years ago
- [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.☆95Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆81Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆31Updated 2 years ago
- ☆130Updated 10 months ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆224Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆122Updated 4 years ago