aijunbai / taxiLinks
Hierarchical Online Planning and Reinforcement Learning on Taxi
☆31Updated 8 years ago
Alternatives and similar repositories for taxi
Users that are interested in taxi are comparing it to the libraries listed below
Sorting:
- A curated list of awesome Model-based reinforcement learning resources☆95Updated 5 years ago
- ☆54Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- ☆99Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆101Updated 4 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.☆84Updated 5 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆38Updated 6 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 8 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 2 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆88Updated 6 years ago
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆38Updated 4 years ago
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆16Updated 6 years ago
- ☆92Updated last year
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 8 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17Updated 3 years ago
- Reproducing Policy Distillation (DeepMind paper ICLR 2016)☆22Updated 5 years ago