Guiliang / uTree_mimic_mountain_carLinks
☆10Updated 2 years ago
Alternatives and similar repositories for uTree_mimic_mountain_car
Users that are interested in uTree_mimic_mountain_car are comparing it to the libraries listed below
Sorting:
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆244Updated 5 years ago
- Multi-Objective Reinforcement Learning☆294Updated 4 years ago
- Public code for implementation and experiments with differentiable decision trees.☆30Updated last year
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆649Updated 4 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- ☆133Updated last year
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆220Updated 2 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆223Updated 2 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
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 2 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 4 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆65Updated 3 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆193Updated last year
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆55Updated 5 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Industrial Benchmark☆139Updated 2 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆120Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- Random Network Distillation pytorch☆256Updated 6 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆106Updated 3 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 3 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- Task dependent skill transformation is challenging due to the ignorance of the relationships between primitive skills. In this project, w…☆14Updated 5 years ago
- Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆660Updated 2 years ago