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
Installation MuJoCo on Ubuntu 16.04 with NVIDIA GPU
Python tools for robotics, deep reinforcement learning and neuroscience research.
Code from "How useful is quantilization for mitigating specification-gaming?"
This repository contains the scripts and results of running HER+DDPG experiments on the shadow dexterous hand.
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Implementation of Multiplicative Compositional Policies (MCP)
Sparse environment for MuJoCo suite (v2 and v3)
Training robots to play soccer
Simple renderer for use with MuJoCo (2.2.x) Python Bindings, on M1 Mac.
Soft robotics in MuJoCo
Manipulation Demo using mujoco-py
Reinforcement Learning CS6700 Course Capstone Project
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
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
Model-based Policy Gradients
The code corresponding to the paper "Improving Sample Efficiency of Deep Reinforcement Learning for Bipedal Walking".
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