tmoer / MCTS-T
Code for the paper 'Monte Carlo Tree Search for Asymmetric Trees'
☆11Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for MCTS-T
- A PyTorch implementation of DeepMind's MCTSnet☆18Updated last year
- Map-Elites based on Evolution Strategies☆31Updated 2 years ago
- ☆24Updated 2 years ago
- This repository contains implementations of the paper VUSFA☆13Updated 3 years ago
- DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement lea…☆35Updated last year
- Evaluating different engineering tricks that make RL work☆15Updated 3 years ago
- Single Player Monte Carlo Tree Search implementation☆18Updated 4 years ago
- AlphaZero for continuous control tasks☆23Updated last year
- GPT implementation in Flax☆18Updated 2 years ago
- The Official Implementation of Domain Adaptive Imitation Learning (DAIL)☆22Updated 4 years ago
- Plannable Approximations to MDP Homomorphisms: Equivariance under Actions☆27Updated 4 years ago
- A PyTorch Implementation of Skipper☆20Updated last month
- Implicit Normalizing Flows + Reinforcement Learning☆60Updated 5 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆18Updated 2 years ago
- A Tutorial on Deep Reinforcement Learning in PyTorch☆29Updated last year
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆12Updated 6 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆20Updated 3 years ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆39Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆30Updated this week
- Performant, differentiable reinforcement learning☆25Updated last year
- Fully differentiable RL environments, written in Ivy.☆63Updated last year
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated last year
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆44Updated last year
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆67Updated 3 years ago
- Code for the paper Task Agnostic Morphology Evolution.☆20Updated 3 years ago
- different AI algorithms to solve board games☆18Updated 6 years ago
- Planning through backpropagation using TensorFlow.☆16Updated 4 years ago
- Implementation of an active inference capsule☆16Updated 3 years ago
- ☆28Updated 2 years ago
- Experiments in applying interpretability techniques to learned reward functions.☆9Updated 3 years ago