cs285 homework solutions - Deep Reinforcement Learning Fall 2019
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Updated
Nov 21, 2022 - Python
cs285 homework solutions - Deep Reinforcement Learning Fall 2019
The Docker image for the isolated Mujoco environment
Python tools for robotics, deep reinforcement learning and neuroscience research.
This repository contains the scripts and results of running HER+DDPG experiments on the shadow dexterous hand.
Installation MuJoCo on Ubuntu 16.04 with NVIDIA GPU
Training robots to play soccer
Simple renderer for use with MuJoCo (2.2.x) Python Bindings, on M1 Mac.
Code from "How useful is quantilization for mitigating specification-gaming?"
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Implementation of Multiplicative Compositional Policies (MCP)
Reinforcement Learning CS6700 Course Capstone Project
Manipulation Demo using mujoco-py
Sparse environment for MuJoCo suite (v2 and v3)
Soft robotics in MuJoCo
The code corresponding to the paper "Improving Sample Efficiency of Deep Reinforcement Learning for Bipedal Walking".
Simple-to-use-and-extend implementation of the DeepMimic Approach using the MuJoCo Physics Engine and Stable Baselines 3, mainly for locomotion tasks.
PPO implementation of Humanoid-v2 from Open-AI gym
Model-based Policy Gradients
Multi-rotor Gym
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