bijianxin292430887's Stars
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
j96w/cogail
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
facebookresearch/mbrl-lib
Library for Model Based RL
juliusfrost/dreamer-pytorch
Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
Stanford-ILIAD/Conventions-ModularPolicy
PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
SapanaChaudhary/PyTorch-CPO
PyTorch implementation of Constrained Policy Optimization
quantumiracle/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
openai/safety-starter-agents
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
jachiam/cpo
Constrained Policy Optimization
openai/safety-gym
Tools for accelerating safe exploration research.
propublica/compas-analysis
Data and analysis for 'Machine Bias'
raziehna/learning-optimal-fair-policies
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
ajlangley/cpo-pytorch
An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch
HumanCompatibleAI/overcooked_ai
A benchmark environment for fully cooperative human-AI performance.
google/ml-fairness-gym
matthieu637/DFRL
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
jazlab/moog.github.io
Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.