rudolfsteiner / DAggerLinks
Reinforcement Learning -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)
☆21Updated 7 years ago
Alternatives and similar repositories for DAgger
Users that are interested in DAgger are comparing it to the libraries listed below
Sorting:
- Model-based Policy Gradients☆32Updated 5 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 5 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆42Updated 3 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)☆49Updated 3 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆51Updated 3 years ago
- ☆73Updated 5 years ago
- A curated list of awesome Model-based reinforcement learning resources☆95Updated 5 years ago
- ☆11Updated 5 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Updated 4 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆38Updated 7 years ago
- Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.☆58Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- ☆10Updated 4 years ago
- Chapter 16 Robot Learning in Simulation in book Deep Reinforcement Learning: example of Sawyer robot learning to reach the target with pa…☆53Updated 4 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated 2 years ago
- Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)☆16Updated 4 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- DDPGfD: This is our implementation project for the Reinforcement Learning course in NCTU.☆35Updated 3 years ago
- RL Reach is a platform for running reproducible reinforcement learning experiments.☆46Updated last week
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆49Updated 6 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆70Updated 4 years ago
- ☆30Updated 5 years ago
- behavior cloning from observation☆38Updated 5 years ago