Alternatives and similar repositories for thinker:

Users that are interested in thinker are comparing it to the libraries listed below

• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆45Updated 9 months ago
• ahmed-touati / controllable_agent
  ☆44Updated last year
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆20Updated 4 months ago
• ssokota / mmd
  Code for magnetic mirror descent.
  ☆16Updated last year
• eilab-gt / NovGrid
  Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …
  ☆35Updated 10 months ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆83Updated 3 years ago
• luchris429 / model-free-opponent-shaping
  Code for Model-Free Opponent Shaping (ICML 2022)
  ☆18Updated 2 years ago
• wcarvalho / nicewebrl
  Python library for easily making web Apps to compare humans and AI
  ☆16Updated last month
• tseyde / decqn
  ☆35Updated 2 years ago
• clvrai / create
  CREATE Environment for long-horizon physics-puzzle tasks with diverse tools
  ☆18Updated 2 years ago
• RyanNavillus / reward-surfaces
  ☆16Updated 11 months ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆22Updated 11 months ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated last year
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated 11 months ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated last year
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆58Updated 2 years ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆38Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 5 months ago
• ElisevanderPol / symmetrizer
  ☆30Updated 4 years ago
• qlan3 / Jaxplorer
  Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.
  ☆12Updated 8 months ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• danijar / ninjax
  General Modules for JAX
  ☆64Updated last month
• zuzuba / CISR_NeurIPS20
  ☆18Updated 4 years ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆53Updated 2 years ago
• david-lindner / safe-grid-gym
  A gym interface for AI safety gridworlds created in pycolab.
  ☆18Updated 2 years ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆22Updated last year
• FLAIROx / popjym
  POPGym Library in JAX
  ☆11Updated 11 months ago
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆28Updated 3 years ago
• lanyavik / BAIL
  ☆17Updated 2 years ago