osigaud / Basic-Policy-Gradient-Labs

Related projects ⓘ

Alternatives and complementary repositories for Basic-Policy-Gradient-Labs

• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 4 years ago
• wendelinboehmer / dcg
  ☆71Updated 5 months ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 3 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆48Updated 2 years ago
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆66Updated 4 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 3 years ago
• lcalem / reproduction-soft-qlearning-mutual-information
  Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.
  ☆9Updated 5 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆73Updated 3 years ago
• geyang / e-maml
  E-MAML, and RL-MAML baseline implemented in Tensorflow v1
  ☆15Updated 4 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• yuchen-x / MacroMARL
  ☆21Updated 6 months ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆47Updated 3 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆70Updated 7 years ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆43Updated last year
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆66Updated 5 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆18Updated 5 years 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
• jbmouret / map_elites_tutorial
  Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
  ☆18Updated 2 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• philipjball / OffCon3
  📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)
  ☆24Updated 3 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆44Updated 4 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 5 years ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆37Updated last year
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆30Updated 2 weeks ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆47Updated 3 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆36Updated 5 years ago
• mcmachado / count_based_exploration_sr
  ☆30Updated 5 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆35Updated 5 years ago
• ollebompa / PGA-MAP-Elites
  Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…
  ☆35Updated 3 years ago