Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.

Implement many Sparse Reward algorithms in Gym Fetch environment

Robot arm control using reinforcement learning algorithms : DDPG and TD3 with hindsight experience replay (HER)

[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Implementation of HindSight Experience Replay paper with Pytorch

Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.

MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitflip-DQN example. +prioritized replay.

A tensorflow implementation of hindsight experience replay

Implementation of HER algorithm in the bit-flipping environment.

Modular-HER is revised from OpenAI baselines and supports many improvements for Hindsight Experience Replay as modules.

Trajectory planning based on RL with Hindsight Experience Replay & Dense Reward Engineering to solve openai-gym robotics "FetchReach-v1" environment using TF2 & PyTorch

Code for [NeurIPS'2019 Spotlight] Policy Continuation with Hindsight Inverse Dynamics

[IROS 2023] Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot

Reinforcement learning library for PyTorch.

PPO with Hindsight Experience Replay (HER)

PyTorch implementation of the paper Overcoming Exploration in Reinforcement Learning with Demonstrations in surgical robot manipulation tasks.

This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" [PRICAI 2021].