nikhilbarhate99 / Deterministic-GAIL-PyTorchLinks
PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
☆67Updated 5 years ago
Alternatives and similar repositories for Deterministic-GAIL-PyTorch
Users that are interested in Deterministic-GAIL-PyTorch are comparing it to the libraries listed below
Sorting:
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆96Updated 5 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆145Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- ☆85Updated 7 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Deep Variational Reinforcement Learning☆138Updated 3 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 9 months ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 8 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- A library for building reinforcement learning and imitation learning agents in Pytorch☆61Updated 5 years ago
- Soft Actor-Critic with advanced features☆50Updated 2 months ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- Random Network Distillation(RND) algo in Pytorch☆51Updated 6 years ago
- Random Network Distillation pytorch☆257Updated 6 years ago
- ☆85Updated 4 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- ☆62Updated 7 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 5 years ago
- ☆99Updated 2 years ago
- ☆92Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 2 years ago