masouduut94 / MCTS-agent-cythonizedLinks
MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …
☆13Updated 4 years ago
Alternatives and similar repositories for MCTS-agent-cythonized
Users that are interested in MCTS-agent-cythonized are comparing it to the libraries listed below
Sorting:
- Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…☆69Updated last year
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 6 years ago
- A PyTorch implementation of DeepMind's MCTSnet☆18Updated 2 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Training Agents in a cooperative multi-agent deep reinforcement learning setting to transport objects across a space☆15Updated 3 years ago
- ☆9Updated 5 years ago
- Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning☆26Updated 5 years ago
- Explore and Control with Adversarial Surprise☆10Updated 3 years ago
- Toy environment set for multi-agent reinforcement learning and more☆38Updated 7 months ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆45Updated 6 years ago
- Reinforcement learning algorithms with Generalized Advantage Estimation☆21Updated 7 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated 2 years ago
- Cellular Automata Environments for Reinforcement Learning☆44Updated 3 months ago
- A2C is a special case of PPO!☆22Updated 3 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- Hierarchical Reinforcement Learning (batteries included)☆46Updated 5 years ago
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆82Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆69Updated 5 years ago
- soft q learning and soft actor critic☆15Updated 6 years ago
- Scalable MCTS for team scenarios☆16Updated last year
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆20Updated 2 years ago
- DNE4py is a python library that aims to run and visualize many different evolutionary algorithms with high performance using mpi4py. It a…☆10Updated 4 years ago
- Algorithms for Uni-Modal Inverse Reinforcement Learning☆21Updated 2 years ago
- Implementations of a large collection of reinforcement learning algorithms.☆27Updated last year
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- Gym wrapper for pysc2☆10Updated 2 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆56Updated 3 years ago