thomasrantian / Awesome-Inverse-Reinforcement-Learning
Literature and code for inverse reinforcement leanring research
☆26Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Awesome-Inverse-Reinforcement-Learning
- ☆16Updated 3 weeks ago
- [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".☆39Updated 7 months ago
- [ICRA 2022] Learning to Navigate Intersections with Unsupervised Driver Trait Inference☆23Updated 2 years ago
- [RA-L & ICRA 2021] Adversarial Inverse Reinforcement Learning with Self-attention Dynamics Model☆31Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆34Updated 2 years ago
- Imitation Learning with the INTERACTION Dataset☆28Updated 7 months ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆25Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆39Updated 2 years ago
- Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous …☆25Updated 3 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆10Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆41Updated 5 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆14Updated last year
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆44Updated 3 years ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆32Updated last year
- [IROS 22'] Model-free Neural Lyapunov Control☆20Updated last year
- Heterogeneous Multi-agent Version of Highway-env☆13Updated last year
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- [CoRL'20] Learning a Decision Module by Imitating Driver’s Control Behaviors☆30Updated 2 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- [T-ITS'24] A safety-aware human-in-the-loop Reinforcment Learning (SafeHiL-RL) approach for end-to-end autonomous driving.☆11Updated last month
- Code for the paper: "MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation"☆16Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆36Updated 3 weeks ago
- CC-POMCP, "Monte-Carlo Tree Search for Constrained POMDPs (NIPS 2018)"☆25Updated 6 years ago
- Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inve…☆27Updated last year
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆19Updated 10 months ago
- Implementations of SAILR, PDO, and CSC☆31Updated 4 months ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 5 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆25Updated 3 years ago
- Temporally abstract actor-critic for continuous control☆9Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆26Updated 2 years ago