benborder / drlaLinks
C++ Deep Reinforcement Learning Agent library
☆10Updated last year
Alternatives and similar repositories for drla
Users that are interested in drla are comparing it to the libraries listed below
Sorting:
- ☆22Updated last year
- SIA - C++/Python library for model-based stochastic estimation and optimal control☆21Updated last year
- Differentiable Gaussian Process Motion Planning☆51Updated 3 years ago
- ☆14Updated 3 months ago
- Implementation for "ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning", CoRL 2020☆16Updated 2 years ago
- code for polite☆11Updated last year
- pycvxset is a Python package for manipulation and visualization of convex sets.☆30Updated 3 months ago
- [NeurIPS'24] The Official PyTorch implementation of DRAIL☆38Updated 6 months ago
- A JAX-Based Body Dynamics Algorithm Library for Robotics.☆24Updated 3 years ago
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆33Updated 4 years ago
- iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning☆13Updated 7 months ago
- CUDA optimized code for solving MDPs, POMDPs, and Dec-POMDPs.☆18Updated 3 years ago
- ☆36Updated 2 years ago
- A project copied from google-research which named motion-imitation was rewrited with PyTorch☆9Updated 2 years ago
- Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.☆58Updated last year
- This repository is the official implementation of the TRAC optimizer in Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement …☆26Updated last month
- Python demo for the paper "Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning".☆31Updated 2 years ago
- C++ version of a Deep Reinforcement Learning algorithm PPO☆34Updated 4 years ago
- Dataset generation scripts for “Path Planning using Neural A* Search” presented in ICML-21☆21Updated 2 years ago
- JAX-based implementation for multi-agent path planning (MAPP) in continuous spaces.☆51Updated 2 years ago
- ☆18Updated 2 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆25Updated 2 years ago
- Behavior planners based on single- and multi-agent Monte Carlo Tree Search☆40Updated 2 years ago
- Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)☆17Updated 3 years ago
- A grid world environment for high-level earthworks planning in JAX for RL.☆40Updated this week
- 2D gridmap tools☆17Updated 3 years ago
- High quality implementations of imitation and inverse reinforcement learning algorithms☆18Updated 2 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 2 months ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆38Updated 4 years ago
- Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations☆28Updated 9 months ago