Pinned Repositories
AX_exp
bash_tools
DistributedES
Distributed implementation of popular evolutionary methods
drl.pth
Implementation of Policy Gradient algorithms in PyTorch. (Sequential, Distributed sync + async)
files
gym_bullet
gym_bullet
map_planner
This is the code for paper 'Mapping State Space using Landmarks for Universal Goal Reaching'.
ProMP
ProMP: Proximal Meta-Policy Search
questionsAndroid
Quick question asking Android apps
questionsJs
lchenat's Repositories
lchenat/bash_tools
lchenat/gym_bullet
gym_bullet
lchenat/AX_exp
lchenat/DistributedES
Distributed implementation of popular evolutionary methods
lchenat/drl.pth
Implementation of Policy Gradient algorithms in PyTorch. (Sequential, Distributed sync + async)
lchenat/files
lchenat/map_planner
This is the code for paper 'Mapping State Space using Landmarks for Universal Goal Reaching'.
lchenat/ProMP
ProMP: Proximal Meta-Policy Search
lchenat/questionsAndroid
Quick question asking Android apps
lchenat/questionsJs
lchenat/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
lchenat/ssj
Stochastic Simulation in Java
lchenat/TSA
Transferable State Abstraction
lchenat/website