Accompanying code for a paper
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Updated
Dec 19, 2019 - Python
Accompanying code for a paper
Motion imitation with deep reinforcement learning.
DDPG algorithm python implementation applied to Mujoco environment, in which a 3R robot arm has to learn the pick-and-place task.
Temporally abstract actor-critic for continuous control
pytorch implementation of SAC, TD3 and TD7 with Mujoco Benchmark results from 4 seeds.
This repository contains the code for the NeurIPS 2021 submission "Local policy search with Bayesian optimization".
Contextual MDPs with changing rewards and dynamics, implemented based on DeepMind Control Suite
Integrated simulator and hardware controller package for UR3 manipulator
MuJoCo model for EZGripper from SAKE robotics
Reinforcement Learning: Bandits, Sample-Values, MuJuCo Simulator, Isaac-Gym
MLPro: Integration Multi-Joint dynamics with Contact (MuJoCo)
In this project, I attempt to solve fetch and slide open gym environment with Hindsight Experience Replay and the I experiment with Prioritised experience replay to see if there are any performance improvements
A Gymnasium benchmark suite for evaluating the robustness and multi-task performance of reinforcement learning algorithms in various discrete and continuous environments.
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