jhare96 / reinforcement-learning
A small reinforcement learning library for my masters dissertation project
☆15Updated 3 years ago
Alternatives and similar repositories for reinforcement-learning:
Users that are interested in reinforcement-learning are comparing it to the libraries listed below
- 2D Gridworld navigation using RL with Hindsight Experience Replay☆44Updated 5 years ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 4 years ago
- Distributed Deep Reinforcement Learning☆29Updated 4 years ago
- soft q learning and soft actor critic☆15Updated 6 years ago
- Learning multi-agent robotic mobile manipulation with deep reinforcement learning☆100Updated 2 years ago
- Learning robotic mobile manipulation with deep reinforcement learning☆37Updated 2 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆80Updated last year
- DecentralizedLearning☆24Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆83Updated last year
- ☆17Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- An implementation of deep reinforcement learning TD3 algorithm with prioritized experience replay (PER) buffer☆23Updated 5 years ago
- RL-Toolkit: A Research Framework for Robotics☆19Updated 2 months ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- ☆74Updated 10 months ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- ☆63Updated 6 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 9 months ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆16Updated 6 years ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 6 years ago
- Code for the ICRA2018 paper "Learning with training wheels: Speeding up training with a simple controller for Deep Reinforcement Learning…☆36Updated 6 years ago
- Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators☆60Updated 3 years ago
- Hierarchical Reinforcement Learning (batteries included)☆45Updated 5 years ago
- Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)☆17Updated 3 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆37Updated 6 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆60Updated 9 months ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- ☆21Updated 11 months ago