neka-nat / inv_rlLinks
Inverse Reinforcement Learning Argorithms
☆54Updated 6 years ago
Alternatives and similar repositories for inv_rl
Users that are interested in inv_rl are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆210Updated 6 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆103Updated 4 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- An implementation of popular Inverse Reinforcement Learning algorithms for various tasks.☆21Updated 8 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆215Updated 2 years ago
- Soft Actor-Critic with advanced features☆51Updated last week
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆294Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 7 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- ☆274Updated 7 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 9 months ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆50Updated 4 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 5 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆36Updated last year
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆127Updated 2 years ago
- ☆84Updated 6 years ago